Abacus Insights – Senior Data QA Engineer Job Opening | Remote US

About Abacus Insights

Abacus Insights is a healthcare technology company focused on making healthcare data more usable, reliable and actionable for health plans. The company is building a trusted data foundation that helps healthcare organizations improve decision-making, reduce waste and support better outcomes.

Abacus Insights is hiring a Senior Data QA Engineer for its remote team in the United States. This is a senior-level opportunity for professionals with strong expertise in data quality engineering, healthcare data, automation and cloud-native technologies.

Job Details

Job Title: Senior Data QA Engineer
Job Type: Full-Time
Work Location: Remote – United States
Experience: 6–8+ Years
Department: Data Quality Engineering / Data Engineering

About the Role

As a Senior Data QA Engineer, you will be responsible for the accuracy, reliability and compliance of healthcare data powering Abacus Insights’ cloud-native data management platform.

The role involves designing automated testing frameworks, developing data validation strategies, performing advanced data profiling, resolving high-impact data quality issues and partnering with Engineering, Product and other teams to maintain high-quality healthcare datasets at scale.

Key Responsibilities

• Architect and maintain enterprise-scale automated data quality validation frameworks.
• Develop rules engines, anomaly detection and monitoring for completeness, conformity, integrity and timeliness.
• Design automated testing strategies for healthcare data ingestion, transformation and downstream pipelines.
• Lead root cause analysis for critical data quality defects and drive remediation.
• Define data quality standards, strategies and best practices across data pipelines.
• Work with Engineering, Product, Operations and Project Management teams to translate requirements into technical test plans.
• Review software and data defects and establish reproducible issue documentation standards.
• Build QA automation frameworks and dashboards using SQL, Python, Java and cloud-native technologies.
• Design system verification protocols and participate in architecture discussions.
• Perform advanced data mining and profiling on healthcare and client-specific datasets.
• Maintain test plans, validation criteria, rule catalogs and QA runbooks.
• Mentor junior and mid-level QA engineers.
• Serve as an escalation point for data quality-related issues.
• Ensure data quality and security processes align with PHI, HIPAA, SOC 2 and company governance requirements.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics or a 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 for complex data manipulation, validation and profiling.
• Experience leading data quality projects from planning through implementation.
• Strong knowledge of healthcare data such as enrollment, medical claims, pharmacy claims and provider data.
• Hands-on automation scripting experience with Python or Java.
• Experience building reusable QA automation frameworks.
• Production experience with AWS services such as S3, EC2, SSM and Athena.
• Experience with Databricks.
• Strong understanding of ETL/ELT pipelines, data integration, data mapping and enterprise QA testing.
• Experience building automated QA applications, dashboards or custom rule frameworks.
• Ability to analyze large-scale datasets and identify systemic quality issues.
• Experience mentoring engineers and influencing technical direction.
• Excellent communication, organization and prioritization skills.

Preferred Qualifications

The following skills are preferred but not mandatory:

• Delta Lake
• Apache Spark
• Airflow
• dbt
• Event-driven architectures
• Schema evolution management
• Parquet, Avro, ORC and JSON
• Terraform
• DevOps and CI/CD pipelines
• Git-based version control
• Software debugging
• System and performance testing methodologies

Healthcare Data Experience

Candidates should have strong exposure to healthcare data domains, including:

• Health plan enrollment data
• Medical claims
• Pharmacy claims
• Provider data
• Health and wellness datasets
• Healthcare data integration and transformation

Compensation & Benefits

Compensation is based on experience, skills and location and includes base salary with eligibility for performance bonuses and equity grants.

Benefits include:

• Unlimited paid time off
• Work-from-anywhere flexibility
• Comprehensive health coverage
• Equity for every employee
• Growth and development opportunities
• Home office setup allowance
• Monthly cell phone allowance

Remote Work Opportunity

This position is a Remote US opportunity, providing flexibility to work remotely while collaborating with cross-functional teams across the organization.

AI Use in Recruitment

Abacus Insights uses AI-powered tools during its recruitment process to support activities such as application matching, sourcing and interview preparation. The company states that recruiters and hiring teams continue to review applications and make decisions regarding candidate progression and hiring.

Equal Opportunity Employer

Abacus Insights is committed to providing equal employment opportunities and building an inclusive workplace. The company considers diverse ideas, experiences and perspectives an important part of its culture and innovation.

Applicant Privacy

Applicants should review Abacus Insights’ Applicant Privacy Notice for information about how personal information is collected and processed during the recruitment process.

Frequently Asked Questions

Q. What is the position available at Abacus Insights?
A. The company is hiring for a Senior Data QA Engineer.

Q. Is this a remote job?
A. Yes. The position is listed as Remote US.

Q. How much experience is required?
A. Candidates should have approximately 6–8+ years of experience in Data Quality Engineering and Data Engineering.

Q. What technical skills are important for this role?
A. Strong SQL, Python or Java, AWS, Databricks, data validation, ETL/ELT and QA automation experience are important.

Q. Is healthcare experience required?
A. Significant experience with healthcare technology or payer/provider environments is expected for this senior role.

Q. What healthcare data experience is preferred?
A. Experience with enrollment, medical claims, pharmacy claims, provider data and other healthcare datasets is highly relevant.

Q. Does the company provide benefits?
A. Yes. Benefits include health coverage, unlimited PTO, equity, home office support, monthly cell phone allowance and professional growth opportunities.

Job Summary

Company: Abacus Insights
Position: Senior Data QA Engineer
Job Type: Full-Time
Location: Remote, United States
Experience: 6–8+ Years
Key Skills: SQL, Python/Java, AWS, Databricks, Data Quality, QA Automation, ETL/ELT
Industry: Healthcare Technology
Work Model: Remote