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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

Elkridge, MD · On-site

$68K - $80K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines ... Ensure data integrity and traceability across ingestion, transformation, and publishing layers

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 +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 QA Engineer

Bethesda, MD

$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 ...

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 · 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 · 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

... 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

... 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

... 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 ...

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 ...

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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 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:
SQL Data Engineer

SQL Data Engineer

Mondo

Centreville, VA • Remote

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 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.