Job Search Results for data engineer

A telecom company is looking for an Azure Data Platform Engineer to join their team in Denver or Boulder. This individual will be responsible for designing, building and maintaining their enterprise... More data pipelines, storage and solutions. A large focus for the organization is building out Azure data lakes as well as managing the Azure Data Factory and Azure Logic Apps. You'll work closing with the PowerBI team to understand their use of data and reporting from both a financial and operational reporting level. You will also play a large role in building out secure and scalable data pipelines that integrate with some of their other applications such as Microsoft Dynamics 365, Sitetracker and Concur. This is an onsite position four days a week in Denver or Boulder. It will begin as a six month contract with the possibility for conversion if they feel this is a good fit for the organization long term. Compensation:$75-85hrExact compensation may vary based on several factors, including skills, experience, and education.Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.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/.Less

?Design, build, and maintain highly scalable and reliable data pipelines to move and transform data across large-scale, distributed systems at exabyte scale.?Architect, implement, and deploy new data... More models and data processing workflows in production, ensuring data quality, integrity, and compliance with data privacy regulations.?Collaborate with cross-functional teams ? including software engineers, data scientists, and product managers ? to understand data requirements and deliver effective, high-impact solutions.?Develop and optimize data-driven systems and solutions to enhance operational scale, efficiency, and generate actionable business insights aligned with evolving product and business needs.?Work closely with engineering teams to plan and execute on half-yearly roadmaps that align with business priorities and available engineering capacity.?Perform data quality monitoring, root cause analysis, and proactive resolution of data pipeline issues to ensure high reliability and trust in data assets.?Develop comprehensive documentation for all data pipelines, models, and related processes, and cross-train team members on new and evolving data systems.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/.Less

We are seeking a Data Analyst to serve as a hands-on contributor supporting data pipelines, reporting, and process automation. This role will act as a ?second pair of hands? for the analytics... More team?helping build and maintain pipelines, cleaning up data, automate manual processes, and support the ongoing transition from Excel-based workflows to centralized data platforms feeding Power BI.This is a practical, execution-focused role ideal for someone comfortable with data cleanup, Power BI, and Power Platform tools, and eager to grow into broader analytics and automation responsibilities.Key ResponsibilitiesData & Analytics Support?Assist in building and maintaining data pipelines feeding Power BI dashboards?Perform light data transformations during data ingestion and import processes?Support the migration of data sources from Excel and Power BI Dataflows into Foundry?Help standardize and improve data quality through routine data cleanup and validation?Maintain and update existing Power BI reports and datasetsPower Platform & Automation?Support development and maintenance of solutions using Power Platform, including Power Forms and related components?Assist with process automation to reduce manual effort across reporting and operational workflows?Contribute to the creation of forms, workflows, and supporting documentation?Utilize VBA where needed to support legacy Excel-based processes during transition phasesProcess Improvement & Enablement?Help design and document data processes and workflows?Support initiatives to move reporting and data collection out of Excel and into more scalable platforms?Collaborate with team members to implement new ideas and solutions as needs evolveWe 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/.Less

One of our largest national retail clients is looking to bring on a Big Data Engineer to help them with several ongoing modernization projects. This individual will design, build, and optimize... More scalable data pipelines using Spark, SQL, & will be using Google Cloud data products to process, transform, & analyze large data sets. The projects will consist of upgrading legacy systems and building new analytic applications while ensuring data reliability, performance, and scalability.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/.Less

An employer is seeking a Field Data Engineer for a long term opportunity in the Cincinnati, OH area. This Data Engineer will be tied to multiple NPD projects for a medical device leader and will... More report into the Data Lead over the program. The Field Data Engineer will be required to establish consistency, structure, and scalability across how data is collected, stored, processed, and prepared for deeper analytics. This individual will own the end-to-end data lifecycle for field and test data, driving standardization and enabling reliable downstream analysis. While this is an individual contributor role, it requires strong leadership, initiative, and the ability to independently prioritize work across multiple stakeholders as the stakeholders they will be working with are mechanical and test engineers. Ideally someone with 2+ years in a testing role will be the correct fit for this role. The main responsibilities will include:Data Collection - establish and enforce data collection norms, streamline existing collection processes and participate in data collection. This will be performed utilizing python, git, SQL or other data engineering toolsData Storage: compile, clean, organize, and develop data pipelines and database schemas coming from ~10 collective test stands, including offline equipment. They will also support data transfers via USB and other offline methods, ensuring integrity and traceabilityWe 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/.Less

Job Overview:Insight Global is looking for a Senior Data Engineer to join the Data Analytics team at one of our logistics company clients. This person will collaborate closely with multiple... More stakeholders across the enterprise and Information Technology (IT) group to ensure the most important data is accessible and well-understood. The Senior Data Engineer designs, develops, implements, and supports new and existing highly efficient ELT/ETL processes and data sets. Other responsibilities include working closely with data consumers, solution architects, security and governance teams to implement solutions to answer complex questions and drive business decisions. Apply your proven communication skills, problem-solving skills, and knowledge of best practices in designing, developing, and deploying data and analytic solutions. Senior Data Engineers need to be adept in several technical and business skills. These include working with diverse datasets, parsing and understanding data, working with domain experts, data scientists and analysts in framing the business problems and provisioning integrated data quickly across multiple environments. Senior Data Engineers need to be inquisitive and motivated to learn modern technologies and capabilities which could benefit the organization and lead the effort in evaluating the technology for acceptance. Senior Data Engineers also assist the business data science efforts with source data, building data sets, helping evaluate models and integrating analytics and data science model outputs into business processes. Key Responsibilities:- Hybrid cloud environment: the Senior Data Engineer works in a hybrid cloud ecosystem, composed of Azure, Oracle and on-premises technologies, building and supporting data and analytics solutions. The Senior Data Engineer will need to learn the data, tools and capabilities resident in this hybrid ecosystem, such as Synapse, Data Lakes, Dedicated Pool, Azure ML, SQL Server, SSIS and SSAS. - Build data pipelines: Managed data pipelines consist of a series of stages through which data flows. Designing, building and maintaining data pipelines, in Azure and the on-premises ecosystems, will be the primary responsibility of the data engineer. - Drive data centric decision making: Assists with enhancing the data and metadata management infrastructure to ensure data quality, accessibility and security. - Collaborate across departments: Collaborates with business data consumers, of various skill levels, in refining their requirements for various data and analytics initiatives. This collaboration can lead to building enterprise data products, enabling data-driven decision making. - Lead, educate and train: Be curious and knowledgeable about innovative technologies and data initiatives. Research and propose data ingestion, preparation, integration and operationalization tools or techniques to aid these initiatives. Train team members, data consumers, data scientists and data analysts in these technologies and preparation techniques. - Participate in ensuring compliance and governance during data use: Data engineers work with data governance teams (and information stewards within these teams) in building, vetting and promoting content, which adheres to data governance and compliance initiatives. - Become a data and analytics evangelist: The Senior Data Engineer is a blend of data and analytics ?evangelist,? ?guru? and ?fixer.? This role promotes the available data and analytics capabilities and expertise to business unit leaders educating them in leveraging these capabilities in achieving their business goals.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/.Less

? Design, build, and maintain scalable data pipelines using Azure Data Factory and Informatica to support batch and near?real-time data integration from multiple source systems.? Develop and optimize... More ETL/ELT processes across Azure Data Lake, Azure SQL, Synapse, and Databricks, ensuring high performance, data quality, and reliability.? Collaborate with architects, analysts, and business stakeholders to translate data requirements into robust, production-ready data solutions on Azure.? Implement data governance, monitoring, error handling, and performance tuning best practices across enterprise data pipelines.? Support CI/CD, debugging, and operational support for data workflows, with a focus on scalable, maintainable Azure-based data solutions.For this role we are paying between $47-49/per hour.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/.Less

Insight Global is seeking a Data Engineer to join a large retail client based in Vancouver, BC, working onsite 4 days per week. This individual will join the Enterprise Data Quality Engineering team... More at lululemon and play a key role in advancing data quality maturity across the organization. They will focus primarily on Data Quality Engineering, supporting a twofold mandate: building scalable data quality solutions and leveraging native capabilities within Snowflake and Databricks. This includes developing automation frameworks, identifying optimization opportunities, and building pipelines to ensure data quality through the implementation of quality rules.The intermediate-level Data Engineer is expected to have 4?7 years of experience and will support the identification, implementation, and monitoring of complex data quality and observability initiatives.Principal Duties and Responsibilities:Design and implement integration, modeling, and orchestration solutions for complex datasets within Snowflake and DatabricksBuild and maintain data quality pipelines and enforce data quality rules across datasetsDevelop automation frameworks to improve data quality monitoring and observabilityIdentify opportunities for optimization across data systems and processesMonitor, troubleshoot, and resolve data engineering and data quality-related incidentsSupport the development and maintenance of technical documentationParticipate in knowledge transfer activities and proactively communicate issues and risksWe 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/.Less

Insight Global is looking to bring on 2 Data Engineers to o support a large-scale enterprise data initiative tied to the future of global operations.These roles focus on transforming fragmented... More operational data into reliable, scalable data products that leadership can use to make critical execution decisions.This work supports a global production network system and one of four strategic pillars driving the future of the organization. The Data Engineers will partner closely with business leaders, analytics teams, and future solution architecture resources. On a day to day they will be responsible for building and maintaining enterprise - scale data pipelines using python and SQL, and migrated data from excel to structured, governed data 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/.Less

110-120K depending on years of experienceRobust SQL skills -- should be able to write code from scratch (not just modifying existing queries) including building an application in SQL. ... More - Strong experience working with large sets of complex data such as financial, sales, supply chain, logistics data, etc. - Hands-on experience with ETL, preferably with Azure Data Factory (ADF), but open to other comparable ETL tools. - Strong experience with some form of BI tool such as Power BI, Tableau, Alteryx, etc.- Extremely strong communication skills with proven experience in speaking to technical audiences and business leaders alike and influencing stakeholders and project partners to achieve resultsWe 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/.Less