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Data Quality Developer Jobs in Washington, DC (NOW HIRING)

i4DM

Salesforce Data Quality Engineer

Millersville, MD · On-site +1

$111K - $133K/yr

About the Role We are seeking an experienced Salesforce Data Quality Engineer to support the modernization of an accreditation and fee processing program at the Department of Veterans Affairs (VA)

Avalore, LLC

Data Quality Analyst

Arlington, VA · On-site

$85K - $184K/yr

This person will participate in data governance activities related to quality, provide guidance on data quality best practices, and collaborate with data engineers to implement quality controls in ...

Socket.dev

Data Quality Analyst

Arlington, VA · On-site

$85K - $184K/yr

This person will participate in data governance activities related to quality, provide guidance on data quality best practices, and collaborate with data engineers to implement quality controls in ...

Avalore, LLC

Data Quality Analyst

Arlington, VA · On-site

$85K - $184K/yr

This person will participate in data governance activities related to quality, provide guidance on data quality best practices, and collaborate with data engineers to implement quality controls in ...

Fortress

Data Quality Analyst

Washington, DC · On-site

$89K - $127K/yr

Data Quality Analyst - Fortress Location: Hybrid (District of Columbia, Maryland, and Virginia) or ... Familiarity with scripting or programming languages such as Python * Industry certifications such ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Take ownership of end to end data quality * Understand and Contribute to the event model design ... Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site

$122K - $146K/yr

Take ownership of end to end data quality * Understand and Contribute to the event model design ... Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps ...

Jobtailor

Data Engineer

Vienna, VA · On-site

$114K - $138K/yr

... engineering, and stakeholder teams to deliver data products and support reporting and model ... Experience with data governance, security compliance, and maintaining data quality standards * Must ...

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining ... The candidate will manage ingestion, transformation, quality control, and optimization of ...

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Data Quality Developer information

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How much do data quality developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data quality developer in Washington, DC is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $73.51 per hour, depending on experience, location, and employer.

What is a data quality developer?

A Data Quality Developer is an IT professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes, tools, and scripts to identify and resolve data quality issues such as duplicates, missing values, or inconsistencies. Their role often involves collaborating with data engineers, analysts, and business stakeholders to define data quality requirements and standards. Additionally, Data Quality Developers monitor data pipelines, perform data profiling, and create automated tests to maintain high data integrity over time.

What are the key skills and qualifications needed to thrive as a data quality developer?

A Data Quality Developer should have strong skills in data analysis, database management, and data profiling, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, SQL, data quality platforms (like Informatica or Talend), and relevant certifications are often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with diverse teams and resolving data issues. These abilities ensure the delivery of accurate, reliable data that supports business decision-making and operational efficiency.

What are some common challenges data quality developers face when working with large datasets, and how can they overcome them?

Data Quality Developers often encounter challenges such as inconsistent data formats, missing values, and integration issues when working with large datasets from multiple sources. To overcome these, they typically implement automated validation rules, build robust data profiling scripts, and work closely with data engineers and business analysts to understand data requirements. Regular communication with stakeholders and adopting best practices for data governance can also help ensure data accuracy and reliability across the organization.

What is the difference between Data Quality Developer vs Data Analyst?

AspectData Quality DeveloperData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity through data quality processes and toolsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData management, SQL, data profiling, data governance certificationsData analysis, SQL, Excel, visualization tools, statistical knowledge
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, marketing, finance, operations
Common UsageFocuses on data quality standards and improvementsFocuses on data insights and reporting

While both roles work with data, Data Quality Developers concentrate on maintaining high data standards and integrity, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

Data Quality Developer jobs near you

Salesforce Data Quality Engineer

Millersville, MD • On-site, Remote

i4DM
Software Development • 11 - 50 employees
Learn more about i4DMexternal

$111K - $133K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description
About Our Team
Our employees thrive in a culture that's fast-paced and ego-free, where innovation and collaboration are encouraged at every turn. We are an organization that provides clients instant access to experienced and talented professionals who understand their unique challenges and know the most efficient ways to address them. We are continually investing in resources and talent, so we stay prepared with specialized teams in place who are experts in creating tailored technologies. Our solutions empower organizations to grow, modernize, and succeed in a rapidly evolving landscape.
We value all voices and want to attract talent from all backgrounds. We're on the lookout for individuals who are passionate about technology and thrive in environments where problem-solving is approached with creativity and enthusiasm. If you're someone who enjoys continuously expanding your skill set while tackling real-world business problems, you'll feel right at home with us. Veterans and military spouses are especially encouraged to bring your unique and valuable experience to our team.
About the Role
We are seeking an experienced Salesforce Data Quality Engineer to support the modernization of an accreditation and fee processing program at the Department of Veterans Affairs (VA). This role will lead data migration and quality activities for the new Salesforce platform replacing accreditation management functions currently housed within the legacy system. The engineer will analyze legacy SQL Server data, develop source-to-target mappings, execute data extraction, transformation, and loading activities, perform data validation and reconciliation, and implement data quality controls. By joining our organization, you will help improve services provided to Veterans and accredited representatives.
RESPONSIBILITIES:
  • Collaborate with our development teams and stakeholders to understand business requirements.
  • Design and execute data migration strategies from GCLAWS to Salesforce.
  • Analyze and profile legacy GCLAWS data residing in SQL Server databases.
  • Develop and maintain source-to-target mapping documents and transformation rules.
  • Perform ETL activities and support data loading using Salesforce migration tools.
  • Conduct data quality assessments, reconciliation, validation testing, and automated monitoring processes.
  • Collaborate with Salesforce architects, developers, business stakeholders, and cross-functional teams to improve data migration and data quality processes.
  • Create and execute migration test plans and document defects and resolutions.
  • Design, develop, and execute test plans, test cases, and test scripts for Salesforce applications, including manual, automated, API, performance, and regression tests.
  • Identify, document, and track defects using bug tracking tools such as JIRA.
  • Serve as subject matter specialist providing data migration and data quality expertise.
  • Provide regular status updates on data migration progress, issues, data quality, and risks to your team and project stakeholders as necessary.
  • Contribute to the overall quality assurance strategy and participate in team meetings and knowledge-sharing sessions.
  • Stay updated on Salesforce best practices, new features, and industry trends.

TAG: #LI-I4DM
TAG: INDMJC
Requirements
QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent experience).
  • 5+ years of experience in data quality, data migration, data engineering, or related disciplines.
  • Experience with Salesforce implementations, SQL Server, ETL processes, source-to-target mapping, data profiling, and reconciliation.
  • Strong SQL and analytical skills for data analysis, reconciliation, and troubleshooting.
  • Ability to obtain and maintain a Public Trust determination.
  • Experience with data migration projects involving Salesforce or other CRM platforms.
  • Strong understanding of ETL processes, data mapping, transformation rules, and data validation techniques.
  • Experience using Salesforce Data Loader, Data Import Wizard, or similar migration tools.
  • Experience developing and executing test plans, test cases, and data validation testing.
  • Experience tracking and managing defects using tools such as Jira.
  • Experience working in Agile development environments.
  • Excellent analytical, problem-solving, and communication skills

PREFERRED QUALIFICATIONS:
  • Salesforce Administrator Certification.
  • Salesforce Platform App Builder Certification.
  • Salesforce Data Cloud, Data Architect, or related Salesforce certifications.
  • Experience with data quality tools and automated data validation frameworks.
  • Experience with test automation tools and API testing.
  • Knowledge of Salesforce data model, security model, and integration patterns.
  • Experience migrating data from legacy case management or legal systems.
  • Experience supporting large-scale government, public sector, or regulated-industry implementations.
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About I4dm

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Millersville, MD, US

Year founded

2002

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