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Data Integrity Engineer Jobs in Washington (NOW HIRING)

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job ... Investigate and resolve data integrity issues within large production databases. * Write and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks ...

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 ... Design test cases and write python/SQL scripts to validate data integrity and identify gaps and ...

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 ... Design test cases and write python/SQL scripts to validate data integrity and identify gaps and ...

Data Bricks Engineer

Herndon, VA · On-site

$117K - $141K/yr

The role involves designing scalable data pipelines, ensuring data integrity, and collaborating with engineering teams to deliver analytics solutions. Responsibilities : • Implement and optimize ...

Forward Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

The Forward Data Engineer will design and optimize data pipelines, ensure data integrity, and collaborate with various teams to leverage data for advanced analytics. Responsibilities : • Design and ...

Data Engineer

Washington, DC · On-site

$109K - $146K/yr

Manage and monitor production datasets , ensuring fault tolerance , redundancy , and data integrity ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

Data Engineer

Springfield, VA · On-site

$119K - $143K/yr

... integrity. • Implement and manage fine-grained roles and permissions in SQL Server to enforce data security and access control policies. • Work closely with Data Analysts, Software Engineers, and ...

Data Engineer (WDP)

Chantilly, VA · On-site

$117K - $140K/yr

BT-152 - Data Engineer (WDP) Skill Level: Mid Location: Chantilly/Herndon **MUST HAVE AN ACTIVE TS ... data integrity and validate SLAs. * Troubleshoot pipeline issues, optimize performance, and ...

Posted today

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

... ensure data integrity, availability, and security in a classified environment. This position is ... Top Secret with SCI eligibility and CI polygraph 8+ years in data engineering/database ...

Data Engineer

Springfield, VA · On-site

$150K - $195K/yr

The Data Engineer will provide design, implementation, and management of databases and data pipelines to support operations and will ensure data integrity, availability, and security for all ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Troubleshoot data issues and implement solutions that maintain data integrity and quality. Support ... Follow engineering best practices including code reviews, version control, testing, and data ...

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Troubleshoot data issues and implement solutions that maintain data integrity and quality. Support ... Follow engineering best practices including code reviews, version control, testing, and data ...

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Data Integrity Engineer information

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are the key skills and qualifications needed to thrive as a data integrity engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What is a data integrity engineer?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges data integrity engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.
What are popular job titles related to Data Integrity Engineer jobs in Washington? For Data Integrity Engineer jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Data Integrity Engineer jobs? Cities in Washington with the most Data Integrity Engineer job openings:

SQL Data Engineer

Mondo

Centreville, VA • Remote

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

Apply now: SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position.

Job Title: SQL Data EngineerLocation-Type: Remote (EST/CST Preferred)Start Date Is: ASAPDuration: PermanentCompensation Range: $125,000 – $140,000 annuallyBenefits: Eligible for Health, Dental, Vision, 401K, PTOMust be authorized to work in the U.S. This position is not eligible for sponsorship. 

Job Description:The SQL Data Engineer will be responsible for investigating, remediating, migrating, and validating production data across enterprise-scale systems. This role focuses heavily on SQL Server, data migrations, ETL processes, XML data handling, and troubleshooting complex data integrity issues within mission-critical applications.

Day-to-Day Responsibilities:

  • Investigate and resolve data integrity issues within large production databases.
  • Write and execute complex SQL queries across highly relational data models.
  • Develop validation scripts and reporting to identify impacted records and data anomalies.
  • Design, test, and execute data correction and remediation scripts.
  • Lead and support data migration initiatives, including schema mapping and transformation logic.
  • Perform ETL activities, data mapping, and data quality validation.
  • Analyze and reconstruct missing or corrupted data when necessary.
  • Collaborate with Product, QA, DevOps, and Engineering teams to understand application data flows.
  • Optimize database performance and troubleshoot production issues.
  • Maintain migration runbooks, playbooks, and technical documentation.
  • Participate in Agile ceremonies, code reviews, and deployment planning.

Minimum Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5 years of professional experience working with relational databases.
  • Expert-level SQL Server experience.
  • Advanced SQL skills including complex JOINs, CTEs, window functions, query optimization, and indexing strategies.
  • Experience writing and executing safe bulk UPDATE, INSERT, and DELETE scripts in production environments.
  • Proven experience with data migration projects, schema mapping, transformation logic, and validation processes.
  • Experience working with XML data and querying XML within SQL environments.
  • Strong ETL and data quality validation experience.
  • Experience working with Git/GitHub and Jira.
  • Familiarity with cloud platforms, preferably Azure.
  • Ability to quickly learn and navigate large, unfamiliar database schemas.
  • Strong troubleshooting and problem-solving skills.
  • Self-starter capable of working independently with limited documentation and guidance.
  • Strong attention to detail and commitment to data accuracy.
Preferred Qualifications:
  • Experience with data reconstruction and forensic data investigation.
  • Experience within tax, government, financial services, or other regulated industries.
  • Familiarity with Azure SQL Managed Instance.
  • Exposure to VB.NET, ASP.NET, C#, Entity Framework, Dapper, or ADO.NET.
  • Experience with SQL Server Reporting Services (SSRS).
  • Experience supporting SaaS or hosted application environments.
  • Understanding of CI/CD pipelines and deployment automation.