Negotiable
Outside
Remote
USA
Summary: The Data Analyst/Data Validation Engineer role focuses on ensuring data quality through testing and validation frameworks, particularly in the healthcare sector. The position requires strong analytical skills and the ability to automate quality workflows while collaborating with engineering teams. Candidates should have extensive experience in data quality engineering and be comfortable navigating evolving requirements. Strong communication skills are essential for working with diverse teams.
Key Responsibilities:
- Conduct testing using Databricks and SQL Server
- Implement data validation frameworks such as Colibra and Great Expectations
- Develop test automation frameworks
- Perform data quality checks using Python and SQL
- Engage in data profiling and anomaly detection
- Document processes and establish quality metrics
- Trace data issues through pipeline logic
- Build automated quality workflows in collaboration with engineering teams
- Conduct iterative validation cycles: review, refine, validate, finalize
Key Skills:
- Databricks and SQL Server testing
- Data validation frameworks (Colibra, Great Expectations)
- Test automation frameworks
- Python and SQL for data quality checks
- Data profiling and anomaly detection
- Documentation and quality metrics
- 5+ years of data quality engineering experience
- Healthcare data validation experience preferred
- Strong analytical thinking
- Strong communication skills
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Title: Data Analyst/Data Validation Engineer
Location: Remote
Skills: - Databricks and SQL Server testing - Data validation frameworks (Colibra, Great Expectations) - Test automation frameworks - Python and SQL for data quality checks - Data profiling and anomaly detection - Documentation and quality metrics
Experience: - 5+ years data quality engineering - Healthcare data validation experience preferred - Test automation and quality process development
Education:
Bachelors Degree or equivalent experience. Healthcare experience preferred.
Ideal Candidate:
- Strong analytical thinker who understands how datasets relate
- Can trace data issues back through pipeline logic
- Skilled with documentation and defining measurable quality metrics
- Can build automated quality workflows and partner with engineering teams
- Manager s Additional Expectations (All Roles)
- Senior-level contributors who can operate independently with minimal direction
- Comfortable working with unclear or evolving requirements
- Not just task executors must separate what stakeholders ask for vs. what they actually need
- Strong communication skills; experience working with both clinical and non-clinical teams
- Ability to perform iterative validation cycles: review refine validate finalize
- Healthcare experience is preferred, but strong technical candidates from other industries may be considered