1

Data Integrity Engineer Jobs in Washington, DC (NOW HIRING)

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

The Data Engineer is responsible for designing, developing, implementing, and maintaining ... integrity and reliability. * Support real-time and batch data processing solutions across cloud ...

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/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

Camp Springs, MD · On-site

$100 - $125/hr

The Data Engineer is responsible for designing, developing, implementing, and maintaining ... integrity and reliability. * Support real-time and batch data processing solutions across cloud ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

The Data Engineer is responsible for designing, developing, implementing, and maintaining ... integrity and reliability. * Support real-time and batch data processing solutions across cloud ...

Data Engineer

Columbia, MD · On-site

$120K - $144K/yr

The Data Engineer is responsible for designing, developing, implementing, and maintaining ... integrity and reliability. * Support real-time and batch data processing solutions across cloud ...

Cleared Hybrid Data Engineer (5418)

Hanover, MD · Hybrid

$113K - $136K/yr

Implement monitoring systems to ensure data integrity, quality, and security across all storage and ... Collaborate with AI engineers and analysts to ensure datasets meet requirements. Required Skills ...

Data Engineer

Washington, DC · On-site

$129K - $155K/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 ...

... integrity. • Support cloud or hybrid data environments (AWS, Azure, or on-prem infrastructure). • Collaborate with analysts and developers to define data requirements and translate them into ...

Data Engineer

Washington, DC · On-site

$109K/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 ...

Evans is hiring Data Solutions Developer resource to join one of their growing contracts supporting ... Data Integrity & Sustainment: Experience designing and maintaining validation logic, data integrity ...

They are looking for Database Engineers to design, optimize, and maintain high-performance data systems, focusing on database architecture, performance, and data integrity. Responsibilities : • ...

Data Engineer

Columbia, MD · On-site

$170K/yr

Lead the department in achieving strategic goals, ensuring data integrity, and fostering a ... Software development/engineering, data engineering, database engineering, etc. (+4 additional years ...

Description Evans is hiring Data Solutions Developer resource to join one of their growing ... Data Integrity & Sustainment: Experience designing and maintaining validation logic, data integrity ...

Showing results 41-60

Data Integrity Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do data integrity engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data integrity engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Data Integrity Engineer jobs in Washington, DC?

For Data Integrity Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Integrity Engineer jobs in Washington, DC look for?

The top searched job categories for Data Integrity Engineer jobs in Washington, DC are:

Data Engineer

Amivero

Columbia, MD • Hybrid

$120K - $144K/yr

Full-time

Re-posted 16 days ago


Job description

The Amivero Team 
Amivero is a team of driven IT professionals motivated by challenges that allow us to be positively influential in the advancement of our nation. Success is having fun in a friendly, collaborative environment while continually learning and growing, resulting in rewarding performance. 
 
As a member of the Amivero team, your professional satisfaction will be cared for through workforce development initiatives, a stipend for ongoing tech training, a flexible work schedule, retirement support, and incentives for meeting performance targets. Gather with us at Amivero’s family events, give back with our volunteer opportunities, and be rewarded for referring great professionals. 
 
Special Requirements 

  • US Citizenship required to obtain Public Trust
  • Must be local to the DMV area
  • Bachelor Degree

The Gist...
The Data Engineer is responsible for designing, developing, implementing, and maintaining enterprise data pipelines, data integration solutions, and scalable data architectures that support analytics, reporting, machine learning, and operational systems. The individual ensures the availability, quality, reliability, and performance of data assets across cloud and hybrid environments.


  • Design, develop, and maintain enterprise data pipelines supporting data ingestion, transformation, integration, and analytics workloads.
  • Build and optimize data architectures that support reporting, analytics, operational systems, and machine learning initiatives.
  • Develop ETL and ELT processes to support enterprise data management and integration requirements.
  • Implement data quality controls, validation processes, and governance standards to ensure data integrity and reliability.
  • Support real-time and batch data processing solutions across cloud-based and hybrid environments.
  • Collaborate with Data Scientists, Business Analysts, architects, and application development teams to support data-driven initiatives.
  • Monitor and optimize data platform performance, scalability, reliability, and operational efficiency.
  • Support data migration, modernization, and cloud transformation initiatives.
  • Implement security controls and compliance requirements for enterprise data environments.
  • Develop and maintain technical documentation, data dictionaries, architecture diagrams, and operational procedures.

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline.
  • Experience designing, building, and maintaining scalable enterprise data pipelines and data architectures.
  • Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing technologies.
  • Experience supporting AWS cloud environments utilizing S3, Kinesis, Lambda, Aurora, RDS, OpenSearch, CloudFormation, and CloudWatch.
  • Experience working with relational and non-relational databases including PostgreSQL, Oracle, SQL Server, Redis, Aurora, and OpenSearch.
  • Experience implementing ETL and ELT solutions, data integration frameworks, and enterprise data management practices.
  • Experience supporting real-time data streaming and event-driven architectures utilizing Kafka and Confluent Kafka.
  • Experience utilizing GitHub Enterprise, Harness, CI/CD pipelines, Terraform, Docker, and Kubernetes to support modern data engineering practices.
  • Experience implementing data quality controls, data governance standards, and operational monitoring solutions.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to support complex enterprise data environments.

EOE/M/F/VET/DISABLED 

All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.