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Mar 30, 2026

Reading, PA

|

Software Engineering

|

Contract-to-perm

|

$57 - $71 (hourly estimate)

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Insight Global is seeking an AI Engineer for an Enterprise client focused on building and operationalizing custom AI and machine learning models for an advanced agentic platform. This role is 100%... dedicated to AI model design, testing, and deployment. The engineer will work hands-on creating new models, supporting existing custom models, and collaborating closely with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. This is an excellent opportunity for a true AI/ML engineer who wants to work on modern agent systems, custom MCP development, and next-generation AI technologies.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 23, 2026

Woodbridge, ON

|

Computer Engineering

|

Contract

|

$57 - $71 (hourly estimate)

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As a result, this role will be heavily involved in both net-new development within Databricks and the ongoing support and evolution of AWS data infrastructure, including pipelines that support enterprise BI and reporting systems.The Senior Data Engineer will partner closely with Data Analytics leadership, including a recently established Head of Data \u0026 Analytics, as well as cross-functional stakeholders across business intelligence, reporting, and machine learning teams. This role will help bridge the gap between data engineering and advanced analytics by enabling reliable, production-ready data pipelines that support ML workflows and data-driven decision-making.This is a high-impact, senior-level position requiring strong ownership, technical depth, and the ability to operate independently. The ideal candidate will be comfortable stepping into an environment with active initiatives underway and contributing immediately to both delivery and longer-term data platform improvements.Key Responsibilities? Design, build, and maintain scalable data pipelines using Python, Spark, and Databricks? Support and enhance an existing AWS-based data stack, ensuring performance, scalability, and reliability? Contribute to a large Databricks initiative, helping drive development and implementation efforts? Partner with Data Analytics and BI teams to support enterprise reporting and analytics needs? Enable and support machine learning workflows, including data preparation and pipeline integration? Optimize data processing performance and ensure strong data quality practices? Collaborate with stakeholders to translate business needs into technical data solutions ? Contribute to ongoing improvements in data architecture, tooling, and engineering best practicesWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Engineer","City":"Woodbridge","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years of experience in Data Engineering or a related field? Strong hands-on experience with Python and Apache Spark? Proven experience working in AWS environments? Hands-on experience with Databricks and building production-level data pipelines? Experience supporting BI/reporting platforms and analytics use cases? Exposure to or experience supporting machine learning workflows or ML pipelines? Strong understanding of data architecture, ETL/ELT processes, and distributed systems ? Ability to operate independently in a senior-level capacity and drive deliverables","Skills":"? Experience with AWS services such as Glue, Redshift, Lambda, or Step Functions? Familiarity with MLOps tools (e.g., SageMaker or similar platforms)? Experience working in large-scale enterprise data environments? Exposure to data governance, data quality, or observability frameworks ? Experience mentoring or guiding junior engineers","Industry":"Computer Engineering","Country":"Canada","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":71.0000,"SalaryLow":56.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

This Senior Data Engineer will be responsible for designing, building, and optimizing high-performance data pipelines and platforms within a Databricks and AWS environment. The team is currently in... the middle of a major Databricks transformation initiative, focused on modernizing their data architecture while continuing to support and enhance components of an existing AWS-based data stack.This initiative is expected to run through the end of the year, with multiple key deliverables still in progress. As a result, this role will be heavily involved in both net-new development within Databricks and the ongoing support and evolution of AWS data infrastructure, including pipelines that support enterprise BI and reporting systems.The Senior Data Engineer will partner closely with Data Analytics leadership, including a recently established Head of Data & Analytics, as well as cross-functional stakeholders across business intelligence, reporting, and machine learning teams. This role will help bridge the gap between data engineering and advanced analytics by enabling reliable, production-ready data pipelines that support ML workflows and data-driven decision-making.This is a high-impact, senior-level position requiring strong ownership, technical depth, and the ability to operate independently. The ideal candidate will be comfortable stepping into an environment with active initiatives underway and contributing immediately to both delivery and longer-term data platform improvements.Key Responsibilities? Design, build, and maintain scalable data pipelines using Python, Spark, and Databricks? Support and enhance an existing AWS-based data stack, ensuring performance, scalability, and reliability? Contribute to a large Databricks initiative, helping drive development and implementation efforts? Partner with Data Analytics and BI teams to support enterprise reporting and analytics needs? Enable and support machine learning workflows, including data preparation and pipeline integration? Optimize data processing performance and ensure strong data quality practices? Collaborate with stakeholders to translate business needs into technical data solutions ? Contribute to ongoing improvements in data architecture, tooling, and engineering best practicesWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 04, 2026

San Francisco, CA

|

Engineering (Non IT)

|

Perm

|

$150k - $170k (estimate)

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Insight Global is seeking a Field Integration Engineer to provide hands-on technical integration support for key partners. This client builds machine learning software that runs at the tactical edge... to support U.S. and allied warfighters. You will be responsible for deploying and configuring Frontline Perception System (FPS) in operational settings, ensuring successful integration with local systems and infrastructure.Key Responsibilities:? Provide on-site integration and technical support for FPS deployments in Australia.? Collaborate with U.S.-based engineering and product teams to ensure effective system configuration and data flow.? Troubleshoot hardware and software issues in real time, ensuring operational readiness.? Train local users on FPS functionality and workflows.? Serve as company's primary technical point of contact on the ground.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 17, 2026

Manakin Sabot, VA

|

Software Engineering

|

Perm

|

$140k - $160k (estimate)

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Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and... optimize operations. Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation. The salary range for this position is $140-160k with a 15% bonusWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 19, 2026

Hunter Mill, VA

|

Computer Engineering

|

Perm

|

$100k - $250k (estimate)

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Insight Global is looking for a AI/ML Engineer to sit on site in Reston, Virginia. This person will support the development and deployment of advanced machine learning and computer vision solutions.... This role will focus on translating research-driven algorithms into real-world applications, particularly within image and video analysis environments.This individual will work across the full ML lifecycle?from data preprocessing and model development to evaluation and deployment?while collaborating with cross-functional teams to integrate solutions into operational workflows. The ideal candidate is analytical, curious, and comfortable working in structured, high-impact environments.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 15, 2026

Saint-Paul, MN

|

Data Warehousing

|

Perm

|

$29k - $36k (estimate)

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We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 02, 2026

Bentonville, AR

|

Software Engineering

|

Contract,Perm Possible

|

$48 - $60 (hourly estimate)

{"JobID":536808,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-94.2,"Longitude":36.36,"Distance":null},"State":"Arkansas","Zip":"72712","ReferenceID":"BEN-99a1b4f9-1db9-4615-a171-c556b46f20d3","PostedDate":"\/Date(1780424591000)\/","Description":"We are seeking a Data Scientist to support large-scale transformation initiatives across supply chain and field operations platforms. This role will focus on building intelligent, data-driven systems that forecast demand, optimize planning, and improve real-time operational decisioning.You will work across use cases including supply chain planning (700+ annual remodels, 600+ suppliers, 32 warehouses) and field operations (work order forecasting, labor planning, dispatch scheduling, and routing optimization). This is an opportunity to help transition highly manual processes into automated, scalable, AI-enabled systems.Key Responsibilities?Develop forecasting models to predict demand (e.g., work orders, inventory needs, remodel requirements)?Build machine learning models to improve planning accuracy, efficiency, and operational outcomes?Design and apply optimization techniques for: oLabor planning and workforce allocationoDispatch scheduling and routingoInventory and supply chain decisioning?Analyze large datasets to identify trends, inefficiencies, and improvement opportunities?Partner with business stakeholders to translate problems into data-driven solutions?Support real-time or near real-time decisioning systems where applicable?Help automate manual workflows through scalable modeling and analytics solutionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist (AI/ML/OR)","City":"Bentonville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor?s or Master?s degree in Data Science, Computer Science, Statistics, Operations Research, Applied Mathematics, or related field?4?8+ years of experience in data science, machine learning, or analytics?Strong experience with: oMachine Learning \u0026 forecasting techniques (time series, regression, predictive modeling)oPython (Pandas, scikit-learn, etc.) and SQLoWorking with large, complex datasets?Ability to translate business challenges into analytical and modeling solutions","Skills":"?Experience with optimization techniques (LP, MIP, routing, scheduling, or resource allocation)?Background in supply chain, logistics, retail, or field operations?Experience with real-time decision systems or operational analytics?Familiarity with Agentic AI or AI-driven decisioning systems?Experience deploying models in cloud environments (AWS, GCP, Azure)?Exposure to tools such as Gurobi, CPLEX, OR-Tools, or Pyomo?Strong communication skills with ability to influence cross-functional stakeholders","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Data Scientist to support large-scale transformation initiatives across supply chain and field operations platforms. This role will focus on building intelligent, data-driven systems... that forecast demand, optimize planning, and improve real-time operational decisioning.You will work across use cases including supply chain planning (700+ annual remodels, 600+ suppliers, 32 warehouses) and field operations (work order forecasting, labor planning, dispatch scheduling, and routing optimization). This is an opportunity to help transition highly manual processes into automated, scalable, AI-enabled systems.Key Responsibilities?Develop forecasting models to predict demand (e.g., work orders, inventory needs, remodel requirements)?Build machine learning models to improve planning accuracy, efficiency, and operational outcomes?Design and apply optimization techniques for: oLabor planning and workforce allocationoDispatch scheduling and routingoInventory and supply chain decisioning?Analyze large datasets to identify trends, inefficiencies, and improvement opportunities?Partner with business stakeholders to translate problems into data-driven solutions?Support real-time or near real-time decisioning systems where applicable?Help automate manual workflows through scalable modeling and analytics solutionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 21, 2026

Brentwood, TN

|

Database Administrator (DBA)

|

Contract

|

$54 - $68 (hourly estimate)

{"JobID":532860,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-86.78,"Longitude":35.99,"Distance":null},"State":"Tennessee","Zip":"37027","ReferenceID":"NAS-21f62030-e372-4b6f-915d-f792571b38f7","PostedDate":"\/Date(1779368739000)\/","Description":"?Design, build, and deploy machine learning and AI models to support business initiatives?Analyze large datasets to uncover trends, patterns, and actionable insights?Partner with cross-functional teams (engineering, product, business stakeholders) to deliver AI-driven solutions?Develop and maintain data pipelines and workflows to support model training and deployment?Translate complex analytical findings into clear, actionable business recommendations?Continuously evaluate and improve model performance and scalability?Support ongoing AI strategy and innovation effortsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Brentwood","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Hybrid onsite 2 days per week ?5+ years of experience in Data Science ?Strong proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)?Hands-on experience with machine learning, statistical modeling, and data analysis?Experience working with large datasets and data visualization tools ?Ability to communicate complex technical concepts to non-technical stakeholders ?Strong analytical thinking and problem-solving skills","Skills":"","Industry":"Database Administrator (DBA)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

?Design, build, and deploy machine learning and AI models to support business initiatives?Analyze large datasets to uncover trends, patterns, and actionable insights?Partner with cross-functional... teams (engineering, product, business stakeholders) to deliver AI-driven solutions?Develop and maintain data pipelines and workflows to support model training and deployment?Translate complex analytical findings into clear, actionable business recommendations?Continuously evaluate and improve model performance and scalability?Support ongoing AI strategy and innovation effortsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 16, 2026

Toronto, ON

|

Architect (Engineering)

|

Contract

|

$50 - $62 (hourly estimate)

{"JobID":519643,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Ontario","Zip":"M5J 0","ReferenceID":"TOR-bd0f4c1b-be40-467b-9d3a-580a3c79151f","PostedDate":"\/Date(1776349856000)\/","Description":"The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer","City":"Toronto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Expertise in big data technologies (Hadoop, Spark, Kafka)Advanced SQL proficiency for investigation and optimizationStrong Python development skillsExperience with cloud platforms (AWS or Azure)Knowledge of Snowflake and dimensional modelingExperience with DevOps tooling (CI/CD, Docker, Kubernetes)Familiarity with ML frameworks (TensorFlow, PyTorch)Strong debugging and analytical skills","Skills":"Leadership and mentorshipEffective communication with technical and non-technical audiencesProblem-solving and critical thinkingOwnership and accountabilityAdaptability and continuous learning","Industry":"Architect (Engineering)","Country":"Canada","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This... role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 18, 2026

Saint-Paul, MN

|

Data Warehousing

|

Contract-to-perm

|

$27 - $34 (hourly estimate)

{"JobID":508060,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-93.1,"Longitude":44.94,"Distance":null},"State":"Minnesota","Zip":"55102","ReferenceID":"MSP-220ff743-5f62-4b21-a561-49052d26de32","PostedDate":"\/Date(1773847231000)\/","Description":"We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Lead/Principal Data Scientist - INTL","City":"Saint-Paul","ExpirationDate":null,"PriorityOrder":0,"Requirements":"9+ years of experience as a Lead or Principal Data ScientistAbility to storytell with stakeholdersFormer experience being heavily involved in end to end stages (proof of concept to production)Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods. Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field. Strong experience with Snowflake Experience with GenAI concepts, tools, or applied use cases. Strong experience preparing, wrangling, and transforming structured datasets. Ability to work independently with minimal direction while managing multiple analytical workstreams. Excellent communication, data storytelling, and stakeholder management skills.","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":34.0000,"SalaryLow":27.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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