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Data Qa Engineer Temporary 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

Hearst

Lead QA Engineer (TEMPORARY)

Chicago, IL · On-site

$69 - $81/hr

Our work is grounded in data-backed strategy, modern digital visibility, and connected execution ... QA Lead, you'll lead a test team consisting of manual and automation engineers for one of our ...

Hearst

Lead QA Engineer (TEMPORARY)

Chicago, IL · Hybrid

$69 - $81/hr

Our work is grounded in data-backed strategy, modern digital visibility, and connected execution ... QA Lead, you'll lead a test team consisting of manual and automation engineers for one of our ...

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 ...

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 ...

Hearst

Lead QA Engineer (TEMPORARY)

Chicago, IL · Hybrid

$69 - $81/hr

Our work is grounded in data-backed strategy, modern digital visibility, and connected execution ... QA Lead, you'll lead a test team consisting of manual and automation engineers for one of our ...

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 ...

iCrossing

Lead QA Engineer (TEMPORARY)

Chicago, IL · On-site

$69 - $81/hr

Our work is grounded in data-backed strategy, modern digital visibility, and connected execution ... QA Lead, you'll lead a test team consisting of manual and automation engineers for one of our ...

Hearst

Lead QA Engineer (TEMPORARY)

Chicago, IL · Hybrid

$69 - $81/hr

Our work is grounded in data-backed strategy, modern digital visibility, and connected execution ... QA Lead, you'll lead a test team consisting of manual and automation engineers for one of our ...

Hearst

Lead QA Engineer (TEMPORARY)

Chicago, IL · Hybrid

$69 - $81/hr

Our work is grounded in data-backed strategy, modern digital visibility, and connected execution ... QA Lead, you'll lead a test team consisting of manual and automation engineers for one of our ...

Medlytix

QA Engineer

Roswell, GA

Build end-to-end test suites for APIs, data pipelines, and AI model/MCP endpoints * Implement ... Experience mentoring junior QA engineers What You'll Work With: Languages: Python, SQL, JavaScript ...

Medlytix

QA Engineer

Roswell, GA · On-site

Build end-to-end test suites for APIs, data pipelines, and AI model/MCP endpoints * Implement ... Experience mentoring junior QA engineers What You'll Work With: Languages: Python, SQL, JavaScript ...

Abacus Insights

Associate Data QA Engineer

$30/hr

About the Role We're hiring a Associate Data QA Engineer to join our Data Engineering/TechOps organization and learn alongside experienced engineers in a modern healthcare data platform environment.

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 ...

Medlytix

QA Engineer

Roswell, GA · Remote

We're seeking an innovative QA Engineer to join our team. This role goes beyond traditional testing ... validation, data quality, and non-deterministic outputs.Key ResponsibilitiesTest Automation ...

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Data Qa Engineer Temporary information

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$129.7K

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How much do data qa engineer temporary jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data qa engineer temporary 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 the key skills and qualifications needed to thrive as a data QA engineer temporary?

To thrive as a Data QA Engineer (Temporary), you typically need a background in software testing, data analysis, and a relevant degree in computer science or a related field. Familiarity with testing frameworks, SQL, automation tools like Selenium, and version control systems such as Git is highly valued. Strong attention to detail, problem-solving abilities, and effective communication help ensure data integrity and smooth collaboration with development teams. These skills are crucial for delivering accurate, high-quality data products within tight project timelines.

What is a data QA engineer temporary?

Data QA Engineers (Temporary) are professionals hired for a limited period to ensure the quality, accuracy, and integrity of data within an organization. They design and execute test plans, identify data inconsistencies, and work closely with data engineers and analysts to resolve issues. Their work often involves validating data pipelines, databases, and ETL processes to make sure data is reliable for analysis and reporting. Temporary positions may be project-based or to cover peak workloads, providing flexibility for both the employer and the employee.

What is the difference between Data Qa Engineer Temporary vs Data Qa Engineer Permanent?

AspectData Qa Engineer TemporaryData Qa Engineer Permanent
Contract TypeShort-term, fixed-duration contractLong-term, ongoing employment
CredentialsTypically requires relevant QA and data testing certificationsSame as temporary, often with additional experience
Work EnvironmentProject-based, often in multiple companies or teamsStable, with benefits and company-specific policies
Employer UsageUsed for specific projects or to fill temporary skill gapsPart of core team, involved in ongoing data quality processes

In summary, a Data Qa Engineer Temporary is hired for a limited period to handle specific projects, offering flexibility but less job security. A Data Qa Engineer Permanent is a full-time employee with ongoing responsibilities, benefits, and a stable position within the company.

What are the main challenges faced by data QA engineers in temporary positions, and how can they be addressed?

Data QA Engineers in temporary roles often face the challenge of quickly familiarizing themselves with existing data systems, test frameworks, and team workflows. Since project durations are limited, there's a need to rapidly adapt and become productive in a short time. Effective communication with permanent team members and proactive documentation review can help overcome these challenges. Additionally, being open to feedback and asking clarifying questions early on can ensure that quality standards are met within tight deadlines.
What cities are hiring for Data Qa Engineer Temporary jobs? Cities with the most Data Qa Engineer Temporary 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 Temporary jobs? States with the most job openings for Data Qa Engineer Temporary jobs include:
Data Qa Engineer Temporary jobs near you
Infographic showing various Data Qa Engineer Temporary job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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

Abacus Insights

Remote

Full-time

Medical, PTO

Posted 21 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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