Partner with clients and implementation teams to understand data distribution needs and expected outputs.
Perform data analysis, data mapping, and validation of client deliverables.
Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance.
Join client and internal team meetings to understand requirements, context, and timelines.
Contribute to process improvements, documentation, and workflow efficiency within a collaborative engineering culture.

Requirements

Interest in healthcare data and curiosity about how data moves through pipelines and platforms.
Ability to write SQL queries for analysis, profiling, validation, and basic performance tuning.
Analytical, problem-solving mindset and willingness to learn new tools/approaches.
Clear communication skills with both technical and non-technical stakeholders.
Strong organization skills and comfort juggling multiple tasks/priorities.
Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts).
Familiarity with Snowflake or cloud data warehouses/services.
Prior internship/project experience working with large datasets, ETL/ELT, or data quality testing concepts.

Benefits

Unlimited paid time off – recharge when you need it
Work from anywhere – flexibility to fit your life
Comprehensive health coverage – multiple plan options to choose from
Growth-focused environment – your development matters here

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata analysisdata mappingdata validationdata extract scriptsETLELTdata quality testingperformance tuningPySpark

Soft Skills

analytical mindsetproblem-solvingcommunication skillsorganization skillsability to juggle multiple taskswillingness to learncollaborationprocess improvementdocumentationworkflow efficiency