Job Description
A client of Insight Global is seeking a Senior Data Engineer to support a high-impact Connectivity project, focused on building and maintaining scalable data pipelines that ingest, clean, transform, and integrate both structured and real-time streaming data. This role partners closely with Data Scientists to deliver production-ready datasets that power advanced analytics and machine learning models.
Key Responsibilities
Design, build, and maintain robust data pipelines for both batch and real-time data ingestion, including structured sources and raw streaming data from Kafka
Clean, transform, and standardize incoming data to ensure high-quality, analytics-ready datasets
Integrate curated data pipelines with machine learning models developed by Data Science teams
Develop and optimize workflows using Apache Airflow for scheduling and orchestration
Build cloud-native data solutions leveraging AWS, including S3, Kubernetes, and related services
Write high-quality, scalable code in Python and Scala
Support deployment, monitoring, and performance tuning of data pipelines in production environments
Collaborate cross-functionally with Data Scientists, Software Engineers, and Product teams to align data solutions with business needs
This role is 3 days a week onsite in Greenwood Village CO and pays between $60- $70 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/.
Required Skills & Experience
5–7+ years of experience as a Data Engineer or in a similar role
Strong hands-on experience with Python and Scala
Experience working with AWS cloud services, specifically S3
Expertise in Kubernetes for containerized workloads
Experience with Apache Airflow for workflow orchestration
Hands-on experience processing real-time streaming data (Kafka or similar)
Nice to Have Skills & Experience
Master’s degree in Computer Science, Data Engineering, or a related field
Prior experience supporting data pipelines for machine learning or advanced analytics use cases
Experience working on connectivity, network, or platform-oriented data projects
Background in productionizing data solutions in complex enterprise environments
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.