ZipRecruiter

Log In

1

Data Integrity Engineer Jobs in Washington (NOW HIRING)

Oasys

Data Engineer

Fairfax, VA · On-site

$113.60K - $136.50K/yr

... integrity and excellence. At Oasys, we foster a collaborative, merit-based culture that values ... The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract ...

Cushman & Wakefield

Data Engineer

Washington, DC

$129.70K - $155.70K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Cushman & Wakefield

Data Engineer

Washington, DC · On-site

$129.70K - $155.70K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Guidehouse

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 ...

Guidehouse

Data Engineer

Mclean, VA

$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 ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$125.60K - $150.80K/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 ...

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 : • ...

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 ...

Element Solutions

Sr. Data Engineer

Washington, DC

$129.70K - $155.70K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data ... Implement data quality checks, validation processes, and monitoring to ensure data integrity.

Element Solutions

Sr. Data Engineer

Washington, DC

$129.70K - $155.70K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data ... Implement data quality checks, validation processes, and monitoring to ensure data integrity.

next page

Showing results 1-20

People also search for

All JobsData Integrity Engineer JobsData Integrity Engineer Jobs in Washington

Data Integrity Engineer information

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 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 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 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:
Data Integrity Engineer jobs near you

Data Engineer

Oasys

Fairfax, VA • On-site

$113.60K - $136.50K/yr

Full-time

Posted 18 days ago

Job description

Who We Are: Oasys International LLC (Oasys) is a fast-growing federal government contractor delivering high-quality technology consulting and professional services to civilian, defense, and homeland security agencies. We have been recognized on Inc. 5000’s list of the fastest-growing companies in America for five consecutive years and named a Best Places to Work in Virginia for the past two years.


Our success is driven by a talented team of technologists, consultants, engineers, and subject-matter experts who support complex federal missions with integrity and excellence. At Oasys, we foster a collaborative, merit-based culture that values continuous learning, professional growth, and work-life balance. We are committed to creating an inclusive, engaging environment where employees are recognized for their contributions and empowered to build meaningful, long-term careers.

Position Summary:

The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving.

Primary Responsibilities:

  • Pipeline Design & Development: Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies.
  • Data Transformation: Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies.
  • Data Store Management: Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR. Focus on performance tuning and query optimization.
  • Automation & Monitoring: Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution.
  • Data Quality Assurance: Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity.
  • Documentation: Create and maintain comprehensive documentation for ETL processes, data models, and system configurations.
  • Communication & Presentation: Effectively communicate complex technical concepts to both technical and non-technical stakeholders. Develop and deliver clear, concise presentations, reports, and data insights to support decision-making and drive business outcomes.
  • Collaboration: Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions.
  • Future-Proofing: Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes.
  • All other duties as assigned by leadership.


Skills and Qualifications:

  • ETL development with Glue ETL, Python, Pyspark, RDS.
  • Solid understanding of data governance principles and data quality best practices.
  • Ability to work independently and as part of a collaborative team in an Agile environment.
  • Excellent problem-solving, analytical, and communication skills.

Required Education and Experience:

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in data integration, ETL development, and data warehousing.
  • Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases.
  • Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation.
  • Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR.
  • Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering.

Required Certifications:

  • AWS certification (Minimum - Cloud Practitioner, AI Practitioner)

Clearance Requirement:

  • Must be a U.S. Citizen (No dual citizenship will be accepted)
  • Ability to obtain a favorable Public Trust investigation

Work Location:

  • Fairfax, VA/Remote
  • US Based Candidates Only

Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.