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Data Integrity Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Smithfield, VA · On-site

$106K - $127K/yr

You will solve complex problems, automate processes, and ensure data integrity at scale-all while growing your expertise and influencing the future of data engineering. If you're passionate about ...

Data Engineer

Smithfield, VA · On-site

$106K - $127K/yr

You will solve complex problems, automate processes, and ensure data integrity at scale-all while growing your expertise and influencing the future of data engineering. If you're passionate about ...

Data Engineer

Smithfield, VA · On-site

$106K - $127K/yr

You will solve complex problems, automate processes, and ensure data integrity at scale-all while growing your expertise and influencing the future of data engineering. If you're passionate about ...

Data Engineer

Tysons, VA · On-site

$92K - $158K/yr

Engineers database solutions that ensure data request performance, reliability, and integrity for business-critical systems. * Develops reusable components for deployment in a traditional data ...

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Troubleshoot and resolve pipeline, performance, and data integrity issues in production ...

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Troubleshoot and resolve pipeline, performance, and data integrity issues in production ...

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Troubleshoot and resolve pipeline, performance, and data integrity issues in production ...

... 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 ...

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Health Data Engineer - Mid Job Locations US-VA-Tysons Job ID 2026-13929 # of Openings 1 Benefit ... You will play a critical role in ensuring data integrity, accessibility, and security, ultimately ...

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Showing results 1-20

Data Integrity Engineer information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for ensuring data quality, security, and integration. AI tools serve as complementary technologies that enhance efficiency but do not eliminate the role of data engineers.

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 tables), and data integrity constraints (rules enforcing data validity). Ensuring these types involves implementing validation, access controls, and audit mechanisms to maintain high-quality data in organizational systems.

What does an integrity engineer do?

An integrity engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They develop and implement data validation, monitoring, and quality control processes, often using tools like SQL, Python, or data management software, to maintain data integrity across systems.

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 $500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized engineering roles can earn $500,000 or more annually, especially with experience, advanced skills, and in certain industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

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 job categories do people searching Data Integrity Engineer jobs in Virginia look for? The top searched job categories for Data Integrity Engineer jobs in Virginia 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

Smithfield Foods

Smithfield, VA • On-site

$106K - $127K/yr

Full-time

Posted 11 days ago


Job description

If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub.

A great job-and a great future-awaits you at Smithfield Foods. We are an American food company with a leading position in packaged meats and fresh pork products. We're looking for motivated people who want to join our team and grow lasting and meaningful careers with us. Apply Now!

THE VALUE YOU'LL BRING:

The position summary states the general nature and purpose of the job. Overall accountabilities are defined in this section.

As a Data Engineer, you will be at the heart of transforming raw data into powerful insights that drive strategic decisions across the business. You will architect and optimize data pipelines, build scalable infrastructure, and collaborate with cross-functional teams to unlock the full potential of our data ecosystem. This is your opportunity to shape how data flows, is stored, and is leveraged-making a tangible impact every single day.

You will work with cutting-edge technologies in a fast-paced, innovation-driven environment where your ideas matter and your skills shine. You will solve complex problems, automate processes, and ensure data integrity at scale-all while growing your expertise and influencing the future of data engineering. If you're passionate about building elegant solutions and turning data into action, this is the role where you'll thrive.

WHAT YOU'LL DO:

The below statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.

Data Architecture & Pipeline Development

  • Design, build, and maintain robust, scalable data pipelines and ETL processes to support analytics and operational needs.

  • Develop and optimize data models and storage solutions across structured and unstructured data sources.

  • Ensure data quality, integrity, and consistency through automated validation and monitoring systems.

Collaboration & Strategy

  • Partner with data scientists, analysts, and business stakeholders to understand data requirements and deliver impactful solutions.

  • Translate business needs into technical specifications and data architecture strategies.

  • Contribute to the evolution of our data platform by evaluating new tools, frameworks, and best practices.

Performance & Governance

  • Monitor and tune data systems for performance, reliability, and scalability.

  • Implement and enforce data governance, security, and compliance standards.

  • Document data flows, processes, and system configurations to support transparency and maintainability.

WHAT WE'RE SEEKING:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions.

  • Bachelor's Degree from a regionally accredited four-year college or university and 5+ years of relevant experience, or equivalent combination of education and experience, required.

  • Minimum of 3+ years experience in a Business Intelligence, Data Architecture or Data Engineering role or equivalent.

  • Advanced knowledge of data management, data integration and data platform development techniques required

  • Advanced knowledge of dimensional data modeling techniques for analytics required

  • Advanced knowledge of SQL programming, including demonstrated experience with a combination of 4 or more of the following: functions, stored procedures, cursors, common table expressions, dynamic SQL, data pivoting, query optimization, correlated subqueries, windowing functions, error handling and merge operations required

  • Advanced knowledge and experience with one or more computer programming languages such as, but not limited to C#, DAX, .NET, Python, SQL required

  • Demonstrated ability to design complex data solutions and collaborate with other team members for successful implementation

  • Demonstrated ability to teach complex topics to less technical team members

  • Demonstrated experience utilizing Python and SQL on the Apache Spark platform is preferred

  • Advanced knowledge of one or more data visualization tools including Power BI, Tableau, Qlik or similar is preferred

  • Demonstrated experience deploying data solutions using a modern data engineering stack composed of data lake, dimensional data warehouse and Apache Spark-based compute platform, preferred

  • Experience using code version control, CI/CD, error handling and lineage/audit capabilities in analytics data pipelines preferred

  • Experience with Microsoft Azure technologies strongly preferred

  • Ability to quickly learn and adopt new technology

  • Considers the relative costs and benefits of potential actions to choose the most appropriate one; acts decisively and swiftly

  • Ability to communicate technical concepts in plain language

  • Strong attention to detail

  • Ability to investigate, understand and deploy new technologies with minimal guidance

  • Strong verbal and written communication skills

  • Strong team collaboration skills

  • Ability to develop excellent relationships with business stakeholders

  • Knowledge of business aspects protein industry strongly preferred

  • High proficiency with the Microsoft Office suite (Word, Excel, PowerPoint, Visio)

Relocation Package Available Yes

EEO Information

Smithfield is an equal opportunity employer committed to workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law.

If you are an individual with a disability and would like to request a reasonable accommodation for any part of the employment selection process, please call us at 757-357-1595.