Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices

Requirements

4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
Expertise in SQL, job experience, and demonstrated strength with Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
Familiarity with healthcare or insurance
Familiarity with data security and HIPAA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythondata engineeringdata pipelinesquery optimizationdata modelingdata governanceBig DataSparkdata quality

Soft Skills

individual accountabilityauthentic feedbackteam collaborationurgency

Certifications

HIPAA compliance