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Data Qa Engineer Temporary Jobs (NOW HIRING)

QA Engineer

Redmond, WA · On-site

$55 - $60/hr

We are currently seeking a QA Engineer for our client in the Consulting domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract ...

Quality Assurance Engineer Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

Quality Assurance Engineer, Product Strategy Quality doesn't happen by accident - it takes someone ... Advanced SQL proficiency, including writing and optimizing queries, auditing production data ...

Data quality assurance Skills * 10+ year experience as big data/ETL QA engineer with expertise in API testing, and automation using Selenium, Jenkins, Git * 3+ year experience in testing CDP platform ...

Web Quality Assurance Engineer (Multiple Positions) Location: Seattle, WA (Onsite) Duration: 6+ Months Key job responsibilities • You'll build and maintain test infrastructure for a web product ...

The QA Engineer will work closely with the development and product teams to define test plans and ... Basic knowledge of SQL for data validation and verifying system behavior across backend services.

As a Senior QA Engineer, you will play a crucial role in validating FMX's trading platforms and ... Validate trading protocols, including message flows, order lifecycles, and market data interactions.

One of our direct client is urgently looking for QA Engineer @ Sunnyvale, CA TITLE: QA Engineer LOCATION: Sunnyvale CA Duration: 6 to 12+ months Rate: DOE Duties: The QA Engineer will be responsible ...

Quality Assurance Engineer - BWX Technologies, Inc. - Barberton, OH Responsibilities include ... Analysis of quality trending data to implement product improvement actions. * Procedure development ...

Temporary Position Work Type: Onsite Summary The QA Engineer is responsible for ensuring the timely development, review, and approval of engineering, validation, and lifecycle documentation in ...

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Data Qa Engineer Temporary information

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$44.5K

$129.7K

$177.5K

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

As of Jun 30, 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), and why are they important?

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 are Data QA Engineers (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:
Infographic showing various Data Qa Engineer Temporary job openings in the United States as of June 2026, with employment types broken down into 17% Full Time, 81% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Quality Assurance Engineer

Public Health Solutions

Queens, NY • On-site

$125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Overview

With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team.

With grant funds from the Centers for Disease Control and Prevention (CDC), DOHMH is undertaking a new initiative that will meet critical infrastructure needs and make possible strategic investments that will have lasting effects on public health. Investments and improvements through this initiative will help modernize DOHMH’s foundational capabilities and data infrastructure, enabling it to partner in complex health and health care environments and, in turn, support better public health outcomes, including COVID-19. This initiative supports larger efforts to rebalance investments in public health and more equitably serve communities and populations.

The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant but will work be supervised by DOHMH. This is a grant-funded position ending in November 2027. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work.

Program Description

This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to be accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers.

Job Description

As a QA Engineer, you will be responsible for testing and validating our data pipelines to ensure high-quality data is processed and delivered. You will work closely with Data Engineers, Data Analysts, and other stakeholders to verify the integrity, performance, and functionality of data processing systems from ingestion to transformation and storage.

This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work.

Duties:

  • Test Data Pipelines: Develop and execute comprehensive test plans to ensure the reliability and accuracy of data pipelines, including data extraction, transformation, and loading (ETL) processes.
  • Test Services: Develop and execute comprehensive test plans to ensure the reliability and accuracy of services and service-oriented workflows.
  • Automation Testing: Create and maintain automated tests for data pipelines and integrate them into CI/CD workflows to ensure data quality and pipeline stability.
  • Data Validation: Validate the integrity, consistency, and accuracy of data processed through various pipelines by comparing raw data to processed data.
  • Performance Testing: Monitor and test pipeline performance, identifying bottlenecks or inefficiencies and working with engineers to resolve them.
  • Debug and Troubleshoot: Investigate and troubleshoot issues within data pipelines, working with cross-functional teams to resolve discrepancies or failures in the data flow.
  • Test Documentation: Document test results, maintain test scripts, and provide detailed reports on issues found during testing.
  • Collaboration: Work closely with Data Engineers to design and improve testing strategies, ensuring all data quality issues are addressed proactively.
  • Continuous Improvement: Actively contribute to refining testing processes, methodologies, and automation practices to enhance the quality of the data pipelines.
  • Regression Testing: Perform regression testing of data pipelines after code changes or new feature deployments to ensure the system remains stable.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • At least 3 years of experience that is highly relevant to responsibilities above.

Additional Desired Qualities

  • Proven experience as a QA Engineer, Data Engineer, or related role focused on data pipeline testing.
  • Solid understanding of data pipeline architecture, ETL processes, and data integration.
  • Proficiency in testing frameworks and tools for data pipelines (e.g., Apache Airflow, dbt, Pytest).
  • storage and processing systems (e.g., SQL, Hadoop, Spark, Snowflake).
  • Experience with version control systems such as Git.
  • Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab).
  • Understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent attention to detail and strong problem-solving skills.
  • Strong communication skills with the ability to work in a collaborative team environment.

Benefits:

  • Hybrid Work Schedule.
  • Generous Paid Time Off and Holidays.
  • An attractive and comprehensive benefits package including Medical, Dental and Vision.
  • Flexible Spending Accounts and Commuter Benefits.
  • Company Paid Life Insurance and Disability Coverage.
  • 403 (b) + employer matching and discretionary company contributions.
  • College Savings Plan.
  • Ongoing training and continuous opportunities for professional growth and development.

Additional Information:

  • This is a temporary grant-funded position ending in November 2027.
  • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date.
  • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties.
  • This individual will be expected to work non-business hours during emergencies.

At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities.

We look forward to learning more about you!

PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans.



Monday-Friday
35 Hours per week