Data Quality Engineer

About Crossover Health

Crossover Health is creating the future of health as it should be. A national, team-based medical group with a focus on wellbeing and prevention that extends beyond traditional sick care, the company delivers an entirely new model of healthcare—Primary Health—built on the foundation of trusted relationships, an interdisciplinary care team approach, and outcomes-based payment. Crossover’s Primary Health model integrates primary care, physical medicine, mental health, health coaching, care navigation and more, and delivers care in surround-sound—in-person, virtually and via asynchronous messaging. Together we are building a community of members that embraces healthcare as a proactive part of their lifestyle.

Job Summary

• Own the QA strategy for data pipelines, ensuring accuracy, completeness, and reliability of healthcare and operational data.

• Maintain comprehensive documentation of data models, lineage, and critical fields in core tools like Snowflake, dbt, and Tableau.

• Map data lineage from source systems (e.g., EMR, eligibility, claims) through modeling and reporting, ensuring visibility across the entire data lifecycle.

• Design and implement data quality tests using dbt tests, Elementary, or similar QA tools.

• Expand automated data QA test coverage across systems with limited or no existing validation.

• Identify and validate data integrity issues across key sources such as claims, EMR, client files, and internal systems, assess impact, and coordinate resolution with cross-functional teams.

• Maintain an issue tracker and regularly report on open items and progress to stakeholders.

• Act as a liaison across Data Engineering, Data Science and Analytics, Product, Security, and Operations to support and advocate for data quality.

• Support root cause analysis by debugging test coverage or validation scripts .

• Partner with Data Engineering to recommend improvements to data models and pipelines based on QA findings.

• Support the onboarding of new data sources by defining QA and documentation requirements in partnership with data engineering.

• Performs other duties as assigned

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field

• 4+ years of experience in a data quality, data engineering, analytics engineering, or data governance role

• Strong knowledge of QA methodologies and data testing frameworks (e.g., dbt tests, Elementary, Great Expectations)

• Proficiency in:

  • SQL and dbt (including documentation, testing, and modeling)

  • Python for scripting, QA automation, or monitoring workflows

  • Data pipelines orchestration tools (e.g., Airflow, Fivetran)

  • Snowflake

• Proficiency in writing clear, concise, and comprehensive test plans, test cases, and documentation

• Ability to identify and resolve data issues across complex systems with minimal supervision

• Excellent problem-solving skills and attention to detail.

• Strong communication and teamwork skills.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications

• Experience working with healthcare datasets

• Familiarity with Master Data Management tools, data mastering concepts, and data enrichment workflows

• Experience with core data governance concepts

• Understanding of data privacy, access controls, and compliance standards (e.g., HIPAA, PII/PHI)

• Familiarity with BI tools such as Tableau for reviewing and validating data outputs

Crossover Health is committed to Equal Employment Opportunity regardless of race, color, national origin, gender, sexual orientation, age, religion, veteran status, disability, history of disability or perceived disability. If you need assistance or an accommodation due to a disability, you may email us at careers@crossoverhealth.com.

To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.