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Data Developer Jobs in Washington, DC (NOW HIRING)

Evans Inc.

Data Solutions Developer

Washington, DC · On-site +1

Description Evans is hiring Data Solutions Developer resource to join one of their growing contracts supporting the Federal Aviation Administration. This role will support the deployment of an air ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position OverviewThe Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions.ResponsibilitiesDesign and implement ETL ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions. Responsibilities * Design and implement ...

Integral

Software Developer

Picatinny Arsenal, NJ

Overview The Software Developer provides lifecycle software development support for the Nuclear Biological and Chemical Sensor processing Group (NBCSPG), Joint Biological Point Detection System ...

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Showing results 21-40

All JobsData Developer JobsData Developer Jobs in Washington, DC

Data Developer information

See Washington, DC salary details

$30

$60

$91

How much do data developer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data developer in Washington, DC is $60.14, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What is a data developer?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

How does a data developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are the key skills and qualifications needed to thrive as a data developer, and why are they important?

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Developer jobs in Washington, DC?

For Data Developer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Developer jobs in Washington, DC look for?

The top searched job categories for Data Developer jobs in Washington, DC are:

Data Developer jobs near you
Infographic showing various Data Developer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $125,093 per year, or $60.1 per hour.

Sr. IT Big Data Developer

Washington, DC • On-site

Diverse Agile Solutions
See more jobs at Diverse Agile Solutionsexternal

$160K - $175K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

TO-BH-3 Sr. IT Big Data Developer (Data Architect/Engineer)

Location: Washington, DC (100% On-site)
Client: Federal Reserve Board (Division of Research & Statistics)
Employment Type: Full-Time Contract
Period of Performance: July 27, 2026 December 31, 2026 (Extension Possible)
Citizenship Requirement: U.S. Citizenship Required

About Diverse Agile Solutions

Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) providing innovative IT consulting, cloud, cybersecurity, software engineering, and data analytics solutions to federal, state, and commercial organizations. Our team partners with government agencies to modernize enterprise technology, improve mission outcomes, and deliver exceptional customer service.

At DAS, we invest in talented professionals who thrive on solving complex technical challenges while making a meaningful impact.

Position Overview

Diverse Agile Solutions is seeking a highly skilled Senior IT Big Data Developer (Data Architect/Engineer) to support the Federal Reserve Board's Data Architecture, Technology, and Analytics (DATA) organization within the Division of Research & Statistics.

The DATA team is responsible for transforming how economic research data is collected, managed, integrated, analyzed, and visualized across the organization.

This position is ideal for an experienced Data Architect and Data Engineer who enjoys designing scalable enterprise data platforms, building modern data pipelines, optimizing large-scale data processing systems, and supporting data-driven research initiatives.

The successful candidate will collaborate closely with economists, data scientists, researchers, and software engineers to design next-generation data architecture supporting critical economic policy research.

Key Responsibilities
  • Design and implement scalable enterprise data architectures supporting research and analytics initiatives.
  • Develop, optimize, and maintain enterprise data pipelines and automated ETL/ELT workflows.
  • Design conceptual, logical, and physical data models.
  • Build highly scalable data processing frameworks capable of supporting large datasets.
  • Develop data integration solutions for structured and unstructured data sources.
  • Optimize database performance across enterprise environments.
  • Design enterprise data lake and data warehouse solutions.
  • Implement Change Data Capture (CDC) methodologies.
  • Develop workflow orchestration using tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
  • Support migration of data platforms between on-premises and cloud environments.
  • Perform root cause analysis of data quality and business process issues.
  • Collaborate with economists and technical teams to deliver trusted, high-quality data assets.
  • Develop software solutions supporting enterprise data services.
  • Participate in application testing, deployment, and production support.
  • Build and maintain CI/CD pipelines supporting DataOps initiatives.
  • Document architecture, standards, and technical designs.
  • Recommend improvements to enterprise data strategy and governance.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
  • Minimum 7 years of professional experience in Data Engineering, Data Architecture, or Big Data Development.
  • Advanced experience developing complex SQL solutions.
  • Extensive experience with relational databases including:
    • PostgreSQL
    • Microsoft SQL Server
    • MySQL
  • Advanced programming experience with:
    • Python
    • R
  • Experience designing scalable enterprise data platforms.
  • Experience building automated ETL/ELT pipelines.
  • Experience developing scalable data processing solutions.
  • Experience with GitLab and/or GitHub source control.
  • Experience working in Linux environments.
  • Strong software engineering background including development, testing, and deployment.
  • Excellent written and verbal communication skills.
  • Strong analytical and troubleshooting abilities.
Preferred Qualifications

Experience with one or more of the following technologies is highly desirable:

Data Engineering
  • Apache Airflow
  • Prefect
  • Dagster
  • AWS Step Functions
Cloud Platforms
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Snowflake
Enterprise Data Technologies
  • Enterprise Data Lakes
  • Data Warehouses
  • CDC (Change Data Capture)
  • DataOps
  • CI/CD Pipelines
Big Data
  • Distributed Computing
  • Large Scale Data Processing
  • High-Volume Data Optimization
Additional Technologies
  • NoSQL Databases
  • Graph Databases
  • Machine Learning
  • Java
  • Scala
  • JavaScript
  • Perl
Domain Experience
  • Time Series Data
  • Forecasting Analytics
  • Economic Research
  • Financial Data
  • Research Organizations
Technical Skills

Programming Languages

  • Python
  • R
  • SQL
  • Java (Preferred)
  • Scala (Preferred)
  • JavaScript (Preferred)
  • Perl (Preferred)

Databases

  • PostgreSQL
  • Microsoft SQL Server
  • MySQL
  • NoSQL
  • Graph Databases

Cloud

  • AWS
  • Microsoft Azure
  • Snowflake

Data Engineering

  • ETL / ELT
  • Apache Airflow
  • Prefect
  • Dagster
  • AWS Step Functions
  • Data Lakes
  • Data Warehouses
  • Change Data Capture (CDC)
  • DataOps
  • CI/CD

Tools

  • GitLab
  • GitHub
  • Linux
Why Join Diverse Agile Solutions?

At DAS, you'll work alongside highly skilled professionals supporting one of the nation's most respected financial institutions. You'll contribute to enterprise-scale modernization initiatives that directly support economic research and national financial policy.

We offer:

  • Challenging, mission-critical projects
  • Collaborative technical teams
  • Opportunities to work with modern cloud and data technologies
  • Professional growth and career development
  • Competitive compensation
Work Location

On-site

Federal Reserve Board
Washington, DC

Equal Opportunity Employer

Diverse Agile Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by applicable law.

BreezyHR Knockout Questions
  1. Are you a U.S. Citizen?
  2. Are you able to work 100% on-site in Washington, DC?
  3. Do you have at least 7 years of experience in Data Engineering or Data Architecture?
  4. How many years of professional Python experience do you have?
  5. How many years of advanced SQL development experience do you have?
  6. Have you designed enterprise ETL/ELT data pipelines?
  7. Which cloud platforms have you used professionally? (AWS, Azure, Snowflake)
  8. Have you worked with Apache Airflow, Prefect, Dagster, or AWS Step Functions?
  9. Have you designed enterprise data warehouse or data lake solutions?
  10. Do you have experience supporting research, economic, or financial data environments?
  11. Have you worked with PostgreSQL, SQL Server, and MySQL?
  12. What is your earliest available start date?