InSource, Inc · 8 hours ago

Data Analytics Engineer

United States

Full-time

Remote

Mid, Senior Level

5+ years exp

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Responsibilities

Be the go-to person for our clients when it comes to their data needs—whether that's helping community health centers get their data architecture in shape or supporting biotech startups as they build out data systems.

Partner with clients to really understand what they need from their data and ensure our technical approach aligns with their goals. Work directly with business users to make sure they have the data they need to answer critical questions

Build and maintain data pipelines in Python, keeping everything well-organized, documented and tested.

Set up and manage SQL transformations using frameworks like dbt to get the data ready for analysis.

Design data architectures that are scalable, reliable, and meet our clients’ specific needs—whether it’s for clinical research or day-to-day operations.

Keep data quality top of mind by implementing validation, testing, and monitoring best practices.

Stay current on data engineering trends and tools to make sure we’re always using the best possible approaches.

Execute code reviews and collaborate with peers on how to approach projects. Contribute to a culture of learning and improvement.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ArchitectureData PipelinesSQL TransformationsClinical DataETL/ELT ProcessesCloud Data PlatformsData ModelingBusiness Intelligence ToolsPythonHealthcare ExperienceData Quality AssuranceTechnical Documentation