1

Data Integrity Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing ... Experience validating data integrity and pipeline integrity * Experience operating systems in ...

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 ...

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 Intermediate

Arlington, VA · On-site

$131K - $158K/yr

... integrity and compliance with stringent DoD security protocols. The position involves direct ... data engineering, with a significant portion of that time spent in a DoD, IC, or other federal ...

Data Engineer Intermediate

Arlington, VA

$131K - $158K/yr

... integrity and compliance with stringent DoD security protocols. The position involves direct ... data engineering, with a significant portion of that time spent in a DoD, IC, or other federal ...

Data Engineer Intermediate

Arlington, VA · On-site

$131K - $158K/yr

You will be responsible for the full lifecycle of data engineering-from building robust ETL/ELT pipelines and managing data warehouses in GovCloud environments to ensuring data integrity and ...

Data Engineer Intermediate

Arlington, VA · On-site

$131K - $158K/yr

... integrity and compliance with stringent DoD security protocols. The position involves direct ... data engineering, with a significant portion of that time spent in a DoD, IC, or other federal ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

They are seeking a motivated Data Engineer to support data pipelines and ensure data integrity and security, delivering actionable cyber data to clients. Responsibilities : • Design, build ...

Data Engineer Intermediate

Arlington, VA · On-site

$131K - $158K/yr

... integrity and proper handling. • Implement data quality checks and monitoring to guarantee the ... Required : • Bachelor's degree in computer science, Engineering, Information Systems, or a ...

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 ...

next page

Showing results 1-20

Data Integrity Engineer information

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data), and data integrity constraints (rules enforcing data validity). Ensuring these types are maintained often involves using database management tools, validation processes, and security measures.

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as data engineering, software engineering, or machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What engineers make $500,000?

Senior data integrity engineers, especially those with extensive experience, advanced certifications, and expertise in database management, data governance, and security, can earn salaries approaching or exceeding $500,000 annually in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology or finance sectors.

Can I make 200k as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are Data Integrity Engineers?

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 Virginia? For Data Integrity Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Data Integrity Engineer jobs? Cities in Virginia with the most Data Integrity Engineer job openings:
Data Engineer

$117K - $141K/yr

Full-time

Posted 18 days ago


Job description

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation's interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Position Overview
Clarity needs a Data Engineer to support a strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, this program will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command.
In this role, you will contribute directly to the success of the data platform by applying your expertise to a mission-critical problem space. You will work alongside product, engineering, data, platform, and security teams to deliver scalable, secure capabilities aligned with mission priorities.
Key Responsibilities
  • Build ETL pipelines to support bulk and streaming data from source to Data Lake
  • Optimize throughput, latency, and reliability of data transfers
  • Support low-to-high and high-to-low data transport mechanisms
  • Integrate transport pipelines with ingestion and CDS workflows
  • Implement monitoring, logging, and alerting for transport services
  • Troubleshoot transport failures and performance bottlenecks
  • Collaborate with platform and security teams to ensure compliance

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 5+ years of experience building data transport or messaging systems
  • Experience with distributed systems and networked services
  • Familiarity with secure data transfer patterns and protocols
  • Experience building ETL/ELT pipelines
  • Experience validating data integrity and pipeline integrity
  • Experience operating systems in regulated or secure environments
  • TS/SCI clearance preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
  • U.S. citizenship required

Nice to Have Skills
  • Experience with messaging or streaming platforms (e.g., Kafka, RabbitMQ, etc.)
  • Familiarity with CDS-enabled transport workflows
  • Experience deploying transport services on Kubernetes
  • Exposure to data integrity and auditing requirements
  • Experience supporting DoD or federal systems

Work Environment
  • Government program environment
  • Herndon, VA or Columbia, MD
  • Hybrid schedule with on-site support expected (3-5 days)
  • Position contingent upon contract award

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.