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Data Integrity Engineer Jobs in Washington (NOW HIRING)

BigBear.ai

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 ...

SMX

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 ...

Bigbear.ai

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 ...

D&G Support Services, LLC

Data Engineer

Fort Belvoir, VA · On-site

$125K - $150K/yr

... 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 ...

Synergy ECP

Database Engineer

Annapolis Junction, MD · On-site

They are seeking Database Engineers to design, optimize, and maintain high-performance data systems, focusing on database architectures, performance tuning, and data integrity strategies.

Synergy ECP

Database Engineer

Annapolis Junction, MD · On-site

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

Evans Consulting

Data Solutions Developer

Washington, DC · On-site

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 ...

Evans Inc.

Data Solutions Developer

Washington, DC · On-site +1

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 ...

Syndicus, Inc.

Data Engineer

Columbia, MD

$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 ...

LMI Consulting, LLC

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Health Data Engineer - Mid Job Locations US-VA-Tysons ID 2026-14376 # of Openings 1 Overview LMI is ... You will play a critical role in ensuring data integrity, accessibility, and security, ultimately ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

You will play a critical role in ensuring data integrity, accessibility, and security, ultimately ... Design, implement, and manage cloud-based data engineering solutions using cloud platforms.

VIVA USA INC

Data Engineer

MD · On-site +1

$114K - $137K/yr

Data Engineer - AIBI Overview: We are seeking a Data Intelligence Engineer to design, build, and ... ensure data integrity across all layers. Integrate monitoring and observability tools (e.g ...

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Data Integrity Engineer information

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?

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

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

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

What cities in Washington are hiring for Data Integrity Engineer jobs?

Cities in Washington with the most Data Integrity Engineer job openings:

Data Integrity Engineer jobs near you

Data Engineer

BigBear.ai

Washington, DC • On-site

$129K - $155K/yr

Other

Re-posted 21 days ago

Job description

Residency
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You'll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices.
What you will do
  • Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices.
  • Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments.
  • Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing.
  • Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation.
  • Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems.
  • Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures.
  • Support database management and administration tasks such as performance tuning, indexing, and access control.
  • Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs.
  • Develop and integrate APIs to support data access and interoperability across systems.
  • Work with cloud messaging APIs and implement push notification mechanisms where applicable
  • Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes

What you need to have
  • Clearance: Must possess and maintain a TS-SCI clearance
  • Bachelor's degree in computer science, Engineering, Information Systems, or a related field
  • 4-8 years of relevant experience in data engineering, ETL development, or database administration
  • Proficiency in Amazon Web Services (AWS) and cloud-based data integration
  • Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
  • Solid understanding of database management, including schema design, indexing, and optimization
  • Experience with API development and integration
  • Ability to manage and transform raw data into usable formats for analytics and reporting
  • Familiarity with Agile methodologies and collaborative development environments
  • Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems

What we'd like you to have
  • Experience with cloud messaging APIs and push notification systems
  • Hands-on experience with database administration and performance tuning
  • Keen interest in learning and applying the latest data tools and technologies to solve real-world problems
  • Experience supporting technical support functions related to data infrastructure
  • Familiarity with national security or mission-driven data environments

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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