Crossover Health · 1 month ago
Data Quality Engineer
Crossover Health is creating the future of health with a focus on wellbeing and prevention. They are seeking a Data Quality Engineer to ensure the accuracy and reliability of healthcare data through testing, documentation, and collaboration with various teams.
Health CareHealth DiagnosticsHospital
Responsibilities
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
Qualification
Required
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)
Proficiency in Python for scripting, QA automation, or monitoring workflows
Proficiency in data pipelines orchestration tools (e.g., Airflow, Fivetran)
Proficiency in 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
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
Benefits
Medical Insurance
Dental Insurance
Vision Insurance
Short- and Long-Term Disability
Life Insurance
Paid Time Off
401K
Company
Crossover Health
Crossover Health designs and delivers membership based primary health and secondary care services to self insured employers.
Funding
Current Stage
Late StageTotal Funding
$281.49MKey Investors
DeerfieldGurnet Point Capital
2021-03-29Series D· $168M
2016-12-07Series Unknown· $92M
2015-01-27Series Unknown· $15M
Recent News
Company data provided by crunchbase