
Data Engineer
The Public Interest Company
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Design, build, and maintain data pipelines using SQL, Python, dbt and Databricks.
- Conduct regular data quality checks to ensure accuracy and integrity for downstream users.
- Proactively identify data issues and develop custom solutions.
- Monitor pipeline performance and tune processes to improve efficiency.
- Work with cross-functional teams to understand data requirements and incorporate them into the data framework.
- Actively participate in discussions, offering input and feedback to drive continuous improvement.
Requirements
- 1–3 years of experience in data engineering, analytics, or related technical roles.
- Solid understanding of ETL/ELT concepts and data pipeline design.
- Proficiency in SQL; Python experience is a plus.
- Foundational understanding of healthcare data; experience with claims data is a plus.
- Familiarity with modern cloud data platforms (e.g., Databricks, Snowflake).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently while collaborating effectively within a team.
- Previous startup experience is a plus.
Benefits
- Competitive salary
- Remote work options
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondbtDatabricksETLELTdata pipeline designdata quality checksdata analysisproblem-solving
Soft Skills
analytical skillsattention to detailcollaborationcommunicationcontinuous improvementindependencefeedbackproactivityinputteamwork