Senior Data QA Engineer
New
A
Abacus InsightsHealthcare Data
Remote USFull-TimeSenior
SalaryBase salary plus eligibility for performance bonuses and equity grants
Apply NowOpens the employer's application page
Job Details
- Experience
- 6–8+ years of experience in Data Quality Engineering and Data Engineering
- Required Skills
- AWSPythonSQLJavaData engineeringDatabricks
Requirements
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or related technical field, or equivalent experience.
- 6–8+ years of experience in Data Quality Engineering and Data Engineering.
- Significant experience in healthcare technology or payer/provider environments.
- Expert-level SQL skills, including complex data manipulation, validation, and profiling at scale.
- Strong hands-on automation scripting expertise in Python or Java.
- Proven ability to lead data quality projects end-to-end.
- Experience with healthcare data types such as enrollment, medical claims, pharmacy claims, and provider data.
- Proven experience with cloud computing environments such as AWS (S3, EC2, SSM, Athena) and Databricks.
- Proven ability to analyze complex, large-scale datasets and identify systemic quality issues.
- Demonstrated experience designing data integration workflows, ETL/ELT pipelines, and enterprise QA testing protocols.
- Experience mentoring engineers and influencing technical direction across teams.
- Excellent communication skills and ability to work cross-functionally.
Responsibilities
- Architect, build, and maintain enterprise-scale automated data quality validation frameworks, including rules engines, anomaly detection, and monitoring.
- Lead design and implementation of automated test strategies for complex healthcare data ingestion, transformation, and downstream application pipelines.
- Drive root cause analysis on high-impact data quality defects, own remediation strategy, and prevent recurrence through systemic process improvements.
- Partner with Engineering, Product, and Operations leadership to translate business and compliance requirements into technical test plans.
- Conduct advanced data mining and profiling on client-specific and healthcare datasets to proactively surface quality risks at scale.
- Design and maintain advanced QA automation frameworks and dashboards using SQL, Python, Java, and cloud-native tooling.
- Ensure data security and quality processes align with PHI handling, HIPAA, SOC 2, and Abacus governance requirements.
View Full Description & ApplyYou'll be redirected to the employer's site
