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Data Qa Engineer Jobs (NOW HIRING)

Abacus Insights

Senior Data QA Engineer

You will also mentor junior QA engineers and help shape the broader data quality practice across Abacus's data ecosystem, directly supporting regulatory and operational integrity. Your day to day

NAVA Software Solutions

QA Engineer

Houston, TX · On-site

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2 ... Focused on Data Validation * Strong SQL skills * Any tools for data quality/ validation

Charles Schwab Inc.

Data QA Engineer

Southlake, TX · On-site

$130K - $150K/yr

The Data QA Engineer will play a critical role in Schwab's Data Exchange space by helping ensure data applications are tested with accuracy, consistency, and release readiness. In this role, you'll ...

Charles Schwab

Data QA Engineer

Southlake, TX

The Data QA Engineer will play a critical role in Schwab's Data Exchange space by helping ensure data applications are tested with accuracy, consistency, and release readiness. In this role, you'll ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

CYNET SYSTEMS

Data QA Engineer

Alpharetta, GA · On-site

$70/hr

Proficiency in Python for scripting and automation in data QA. * Experience with data analysis using Excel and handling large datasets. * Knowledge of data validation and quality checks. * Experience ...

Boss Tech

QA Engineer

San Jose, CA · On-site +1

... assurance engineers ... Coordinate and collaborate with data quality control analysts and engineers in testing and ...

Moore DM Group LLC

QA Engineer

Westminster, CO · On-site +1

$75K - $80K/yr

As a QA Engineer, you will be responsible for testing our software applications, data processes, reports, and dashboards, including validating data accuracy, calculations, filters, business logic ...

Moore

QA Engineer

Westminster, CO · Remote

Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels and devices. We ...

Data Bridge Consultants

Senior QA Engineer

Cary, NC

$40/hr

... and data strategies • Provide regular status updates to project team on QA progress • ... Engineers on artifact procedure issues uncovered • Works with QA Manager on enhancing test ...

Data Device Corporation

QA Engineer

Bohemia, NY

$70K - $105K/yr

The QA Engineer also works closely with cross-functional teams, suppliers, and customers while ... Data Device Corporation is an Affirmative Action/Equal Opportunity Employer and is committed to ...

DATA DEVICE CORPORATION

QA Engineer

Bohemia, NY

$70K - $105K/yr

The QA Engineer also works closely with cross-functional teams, suppliers, and customers while ... Data Device Corporation is an Affirmative Action/Equal Opportunity Employer and is committed to ...

ENE IT Consulting

Lead Data QA

Philadelphia, PA · On-site

$130K/yr

Collaborate with data governance, engineering, and architecture teams to embed QA best practices across the data lifecycle. Data Testing & Validation Design and implement automated test plans ...

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Data QA Engineer information

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How much do data qa engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data qa engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Data QA Engineers on the job?

Data QA Engineers often encounter complex challenges such as identifying subtle data inconsistencies, managing large volumes of data across multiple sources, and ensuring testing keeps pace with rapidly evolving datasets and business requirements. You'll regularly need to investigate root causes of data issues, develop automated solutions for regression testing, and collaborate with data engineers, analysts, and product teams to clarify data expectations. The fast-paced environment demands adaptability and a proactive approach to improving data reliability. Overcoming these challenges helps maintain data integrity and contributes significantly to business success.

What is a Data QA Engineer job?

A Data QA Engineer ensures the accuracy, reliability, and integrity of data by testing data pipelines, ETL processes, and data warehouses. They design and execute test cases, identify data quality issues, and collaborate with data engineers to resolve defects. Their role is crucial in maintaining high-quality data for analytics, reporting, and decision-making.

What are the key skills and qualifications needed to thrive in the Data Qa Engineer position, and why are they important?

To thrive as a Data QA Engineer, you need a solid understanding of data quality principles, database management, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with data validation tools, SQL, automation frameworks (such as Selenium or pytest), and certifications like ISTQB are commonly expected. Attention to detail, effective problem-solving, and strong communication help you collaborate efficiently across data and engineering teams. These abilities ensure accurate, reliable data pipelines and trustworthy analytics, which are critical for business decision-making.

More about Data QA Engineer jobs
What cities are hiring for Data Qa Engineer jobs? Cities with the most Data Qa Engineer job openings:
What are the most commonly searched types of Data Qa Engineer jobs? The most popular types of Data Qa Engineer jobs are:
What states have the most Data Qa Engineer jobs? States with the most job openings for Data Qa Engineer jobs include:
What job categories do people searching Data Qa Engineer jobs look for? The top searched job categories for Data Qa Engineer jobs are:
Data QA Engineer jobs near you
Infographic showing various Data Qa Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data QA Engineer

Senior Data QA Engineer

Abacus Insights

Remote

Full-time

Medical, PTO

Posted 6 days ago

Job description

About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions-so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows-and it's why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative-because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable-those excited to leverage emerging technologies to enhance how we work-while keeping human insight, connection, and our clients at the center of every decision.
Ready to make an impact? Join us and let's build the future together.
About the Role
As a Senior Data Quality Engineer at Abacus Insights, you will own the accuracy, reliability, and compliance of healthcare data powering our cloud-native data management platform. This role requires deep expertise in data engineering, data quality architecture, and healthcare data domains. You will architect automated testing frameworks, lead data validation strategy, and partner with Engineering and Product leadership to maintain high-trust, high-quality datasets for health plan clients at scale. You will also mentor junior QA engineers and help shape the broader data quality practice across Abacus's data ecosystem, directly supporting regulatory and operational integrity.
Your day to day
  • Architect, build, and maintain enterprise-scale automated data quality validation frameworks, including rules engines, anomaly detection, and monitoring for completeness, conformity, integrity, and timeliness
  • 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
  • Define and evolve data quality strategy, standards, and best practices across pipelines, influencing tooling and process decisions org-wide
  • Partner directly with Engineering, Product, Project Management, Operations, and Connector Engineering leadership to translate business and compliance requirements into technical test plans, functional specifications, and validation logic
  • Lead review of software and data defect reports, identify systemic problem areas, and establish standards for reproducible issue documentation
  • Design and maintain advanced QA automation frameworks and dashboards using SQL, Python, Java, and cloud-native tooling
  • Lead system verification protocol design and represent QA in cross-functional architecture and design discussions
  • Conduct advanced data mining and profiling on client-specific and healthcare datasets to proactively surface quality risks at scale
  • Own documentation strategy including test plans, validation criteria, rule catalogs, and QA runbooks
  • Mentor and provide technical guidance to junior and mid-level QA engineers
  • Serve as an escalation point for internal and external data quality inquiries
  • Ensure data security and quality processes align with PHI handling, HIPAA, SOC 2, and Abacus governance requirements, and help evolve governance standards as the platform scales

What you bring to the team
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or related technical field, or equivalent work experience.
  • 6-8+ years of experience in Data Quality Engineering and Data Engineering, with significant experience in healthcare technology or payer/provider environments
  • Expert-level SQL skills, including complex data manipulation, validation, and profiling at scale
  • Proven ability to lead data quality projects end-to-end.
  • Deep experience working with healthcare data types such as enrollment, medical claims, pharmacy claims, provider data, or non-traditional health and wellness datasets
  • Strong hands-on automation scripting expertise in Python or Java, with a track record of building reusable frameworks
  • Proven experience with cloud computing environments such as AWS (S3, EC2, SSM, Athena) and Databricks in production-scale settings
  • Demonstrated experience designing data integration workflows, ETL/ELT pipelines, data mapping strategy, and enterprise QA testing protocols
  • Track record of building and scaling automated QA applications, dashboards, or custom rule frameworks from the ground up
  • Proven ability to analyze complex, large-scale datasets, identify systemic quality issues, and drive actionable, measurable improvements
  • Experience mentoring engineers and influencing technical direction across teams
  • Excellent communication skills, with the ability to work cross-functionally, influence stakeholders, and operate independently with minimal oversight
  • Strong organizational and prioritization skills in a fast-paced, multi-project environment

What we would like to see, but not required
  • Deep exposure to Delta Lake, Spark, Airflow, dbt, or event-driven architectures
  • Advanced knowledge of schema evolution management (Parquet, Avro, ORC, JSON)
  • Experience leading data quality lifecycle management initiatives in large-scale cloud systems
  • Familiarity with Terraform, DevOps pipelines, CI/CD workflows, Git-based version control
  • Background in software debugging, system testing methodologies, or performance testing at an architectural level

Compensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.
What you'll get in return
  • Unlimited paid time off - recharge when you need it
  • Work from anywhere - flexibility to fit your life
  • Comprehensive health coverage - multiple plan options to choose from
  • Equity for every employee - share in our success
  • Growth-focused environment - your development matters here
  • Home office setup allowance - one-time support to get you started
  • Monthly cell phone allowance - stay connected with ease

Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture-one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there's anything we can do to support that-big or small-please let us know.

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