Data Analyst Data Validation Engineer

Overview

Remote
$50 - $60
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Analytical Skill
Automated Testing
Communication
Data Profiling
Data Quality
Data Validation
Databricks
Documentation
GC
Health Care
Microsoft SQL Server
Performance Management
Preventive Maintenance
Process Engineering
Project Management
Python
SQL
Testing
Workflow

Job Details

Data Analyst Data Validation Engineer

Temp to Hire

100% offsite - 8am-5pm EST

Visa: USC/ EAD

The ideal candidate brings 5+ years of data quality engineering experience with a strong analytical mindset and the ability to investigate datasets holistically understanding how data relates to itself and to adjacent datasets, formulating the right questions, and designing targeted analyses to uncover issues or validate accuracy. They should be proficient in Databricks and SQL Server testing environments, with hands-on experience using data validation frameworks such as Collibra or Great Expectations. Strong Python and SQL skills are essential for building data quality checks, along with expertise in data profiling and anomaly detection techniques. The candidate must be comfortable reading and interpreting code written by others, enabling them to trace identified data issues back to their source within pipeline logic and communicate findings clearly to engineering teams. Experience with test automation frameworks and quality process development is expected, and healthcare data validation experience is preferred. Strong documentation skills and the ability to define and track quality metrics round out the profile.

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

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
  • 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.