Remote Data Quality Engineer & Analytics Scientist

Vervic Inc.; Huntsville (AL); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Health insurance

Paid time off

Job summary

Vervic Inc. is seeking a Data Quality Engineer / Data Scientist to establish automated data quality, reconciliation, and profiling capabilities across the CCN Next Gen systems.

This 100% remote role supports end-to-end data integrity across VA and external partner boundaries. The candidate will develop reusable data-quality frameworks, automation, and analytics, collaborating with Synthetic Data Engineers, healthcare interoperability engineers, and CCN product teams to ensure trusted data

Qualifications

• Bachelor's degree in a technical discipline or equivalent professional experience.
• Ten (10) or more years of experience in data engineering, data quality, data science, analytics engineering, or a related technical field.

Responsibilities

• Design and implement reusable data quality frameworks for end-to-end systems integration.
• Define and automate data quality controls for accuracy, completeness, consistency, validity, and timeliness.
• Develop rules and metrics for data quality at critical lifecycle points.
• Establish repeatable processes to identify, classify, prioritize, and report data quality issues.
• Create automated quality gates to prevent defects from propagating across systems.
• Maintain data quality evidence and metrics supporting integration readiness.
• Develop reconciliation methods comparing source data, transformations, and downstream outcomes.
• Trace data elements across complex workflows to verify correct transmission.
• Support end-to-end reconciliation across VA and partner boundaries as integration expands.
• Assist engineering teams in isolating data discrepancies.
• Profile structured and semi-structured healthcare data to establish baselines and quality characteristics.
• Analyze large datasets to identify anomalies, patterns, and potential defects.
• Develop repeatable profiling routines as systems evolve.
• Compare data characteristics across environments to identify changes.
• Develop analytical methods to understand data behavior in CCN Next Gen.
• Partner with Synthetic Data Engineers to establish quality criteria for synthetic datasets.
• Evaluate synthetic datasets for consistency and scenario completeness.
• Validate synthetic scenarios maintain relationships among entities.
• Ensure synthetic data avoids PHI in testing environments.
• Support certification and versioning of trusted synthetic datasets.
• Apply statistical techniques to identify anomalies, trends, and correlations.
• Develop automated data-quality checks and ML-assisted analysis methods.
• Ensure findings are validated before influencing engineering baselines.

Skills

SQL

Python

R

Data profiling

Data reconciliation

Data quality

Data modeling

Data lineage

Root cause analysis

Communication

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Data Engineering, Information Systems, or related technical discipline

Tools

REST APIs

Git

CI/CD

Job description

Vervic Inc. is seeking a Data Quality Engineer / Data Scientist to establish automated data quality, reconciliation, and profiling capabilities across the CCN Next Gen systems.

This 100% remote role supports end-to-end data integrity across VA and external partner boundaries. The candidate will develop reusable data-quality frameworks, automation, and analytics, collaborating with Synthetic Data Engineers, healthcare interoperability engineers, and CCN product teams to ensure trusted data