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Data Qa Jobs in Washington (NOW HIRING)

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or relevant space * Demonstrable knowledge, experience, skill, and proficiency with the following:

Data QA Engineer

Bethesda, MD · On-site

$122K - $146K/yr

Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or relevant space * Demonstrable knowledge, experience, skill, and proficiency with the following:

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge ... About the Role The QA Lead owns the end-to-end test strategy for the platform, coordinating system ...

QA Lead

Washington, DC · On-site +1

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge ... About the Role The QA Lead owns the end-to-end test strategy for the platform, coordinating system ...

We are seeking an experienced Sr. Quality Assurance Engineer to own the quality strategy for a ... This role is responsible for ensuring that every release to the agency's enterprise data platform ...

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

Quality Assurance (QA) Lead

Reston, VA · On-site

$92K - $166K/yr

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust ... As the QA/Evaluation Lead, you'll own quality and evaluation across the platform. You'll design the ...

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Data Qa information

What is the difference between Data Qa vs Data Analyst?

AspectData QaData Analyst
Required CredentialsBasic understanding of testing tools, some certificationsDegree in data-related fields, certifications like Microsoft or SAS
Work EnvironmentQuality assurance teams, software testing environmentsData analysis teams, business intelligence settings
Employer & Industry UsageTech companies, software development firmsFinance, marketing, healthcare, and other industries
Common Search & ComparisonOften compared for data quality rolesMore focused on data insights and reporting

Data Qa professionals primarily focus on testing and ensuring data quality, often working within QA teams to validate data accuracy and integrity. Data Analysts, on the other hand, analyze data to generate insights, create reports, and support decision-making. While both roles work with data, Data Qa emphasizes quality assurance processes, whereas Data Analysts focus on data interpretation and analysis.

What are popular job titles related to Data Qa jobs in Washington? For Data Qa jobs in Washington, the most frequently searched job titles are:
Infographic showing various Data Qa job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data QA Engineer

Ex Parte, Inc

Bethesda, MD • On-site, Remote

$122K - $146K/yr

Full-time

Re-posted yesterday


Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
Responsibilities
  • Take ownership of end to end data quality
    • Understand and Contribute to the event model design
    • Build and automate testing frameworks around data ingestion pipelines.
    • Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle.
    • Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines.
    • Track data issues and work with team leads from discovery to resolution.
  • Collaborate with the analytic teams to conduct data quality investigations, improve automation and tools.
  • Review current tools and enhance them to help with data integrity.

Qualifications
Minimum Qualifications
  • 5+ years of work experience in QA, preferably in data or relevant space
  • Demonstrable knowledge, experience, skill, and proficiency with the following:
    • Scrum/Agile methodologies
    • SDLC
    • Python (at least reading)
    • SQL
  • Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing
  • Must be self-motivated, able to work independently, and thrive in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide variety of functional areas
  • Excellent verbal and written communication skills

Preferred Qualifications
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Use of one of the following vendor reporting solutions: PowerBI or Tableau
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git).

Additional Information
All your information will be kept confidential according to EEO guidelines.