ZipRecruiter

Log In

1

Data Developer Jobs in Washington (NOW HIRING)

Intone Networks Inc.

Big Data Engineer

Mclean, VA · On-site

$57.25 - $75.75/hr

Big data developer will work on ingesting, storing, validating and disseminating after transforming data in a consumable format for business intelligence teams and data analysts to get deeper ...

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 ...

next page

Showing results 1-20

All JobsData Developer JobsData Developer Jobs in Washington

Data Developer information

See Washington salary details

$30

$60

$91

How much do data developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data developer in Washington is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.08 per hour, depending on experience, location, and employer.

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 Data Developers?

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 much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

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 does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
What are popular job titles related to Data Developer jobs in Washington? For Data Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Washington look for? The top searched job categories for Data Developer jobs in Washington are:
What are popular job titles related to Data Developer jobs in WA? For Data Developer jobs in WA, the most frequently searched job titles are:
Data Developer jobs near you
Infographic showing various Data Developer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $125,139 per year, or $60.2 per hour.

Senior IT Big Data Developer

Diverse Agile Solutions

Washington, DC • On-site

$70 - $82/hr

Full-time

Re-posted 15 days ago

Job description

Senior IT Data Engineer (TO-BH-2)

Diverse Agile Solutions (DAS)

Location: Washington, D.C. (Hybrid)
Position Type: Full-Time
Citizenship Requirement: U.S. Citizen Required
Client: Federal Reserve Board Division of Research & Statistics (R&S)
Experience Level: Senior (7+ Years)
Security Requirement: Must be eligible to work on Federal projects

About Diverse Agile Solutions (DAS)

At Diverse Agile Solutions (DAS), we deliver innovative technology solutions that help government agencies and commercial organizations modernize operations, improve decision-making, and achieve mission success. We are seeking a highly skilled Senior IT Data Engineer to support the Federal Reserve Board's Data Architecture, Technology, and Analytics (DATA) Section within the Division of Research & Statistics.

This is an exciting opportunity to contribute to the modernization of enterprise data architecture and analytics capabilities that support economic research, policy analysis, and data-driven decision-making at one of the nation's most influential institutions.

Position Overview

The Senior IT Data Engineer will play a critical role in transforming how the Federal Reserve Board's Division of Research & Statistics ingests, organizes, processes, and visualizes data. This position is responsible for designing, developing, and optimizing enterprise data architectures, scalable data pipelines, and advanced analytics platforms that support economists, researchers, and technical teams.

The ideal candidate is a hands-on data engineering professional with deep expertise in data modeling, database architecture, ETL/ELT development, cloud technologies, and enterprise-scale data solutions. This individual will help drive next-generation data initiatives while ensuring efficient, secure, and reliable data delivery across multiple platforms and environments.

Key Responsibilities

  • Design, develop, and maintain enterprise data architectures, databases, and data integration solutions.
  • Build, optimize, and automate scalable ETL/ELT pipelines for structured and unstructured data sources.
  • Develop and maintain high-performance data processing frameworks supporting large-scale analytics workloads.
  • Design conceptual, logical, and physical data models aligned with business and research requirements.
  • Implement and manage data lake, data warehouse, and enterprise data platform solutions.
  • Collaborate with economists, researchers, and technical stakeholders to support data-driven research and policy initiatives.
  • Optimize data flow, storage, and processing architectures for performance, scalability, and reliability.
  • Perform root cause analysis on data and business processes to identify improvement opportunities.
  • Support migration of data pipelines and workflows between on-premises and cloud environments.
  • Develop and maintain DataOps practices, CI/CD pipelines, and automated deployment processes.
  • Ensure adherence to data governance, security, and architectural standards.
  • Evaluate emerging technologies and recommend innovative solutions to improve enterprise data capabilities.
  • Document technical solutions, architecture designs, and operational procedures.

Required Qualifications

Education

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
  • Advanced degree (Master's or Ph.D.) preferred.

Experience

  • Minimum of 7 years of professional experience in Data Engineering, Data Architecture, Database Administration, or related disciplines.
  • Proven experience designing and implementing enterprise-scale data solutions.
  • Experience supporting complex research, analytics, or data-intensive environments.
  • Strong ability to work independently while supporting multiple stakeholders and projects.

Required Technical Skills

Data Engineering & Architecture

  • Advanced SQL expertise.
  • Extensive experience with:
    • PostgreSQL
    • Microsoft SQL Server
    • MySQL
  • Data modeling and enterprise information architecture design.
  • Data lake and data warehouse architecture.
  • Change Data Capture (CDC) implementation and maintenance.
  • Data integration and pipeline automation.

Programming & Analytics

  • Advanced proficiency in:
    • Python
    • R
  • Experience with additional programming languages such as:
    • Java
    • Scala
    • JavaScript
    • Perl

Data Processing & Orchestration

  • ETL/ELT workflow development and automation.
  • Distributed computing and large-scale data processing.
  • Workflow orchestration platforms such as:
    • Apache Airflow
    • Prefect
    • Dagster
    • AWS Step Functions

Cloud & Modern Data Platforms

  • Hands-on experience with:
    • AWS
    • Microsoft Azure
    • Snowflake
  • Cloud migration of data pipelines and workflows.
  • Enterprise data platform modernization initiatives.

DevOps & DataOps

  • CI/CD pipeline implementation and support.
  • GitLab and GitHub source control management.
  • Linux-based development environments.
  • Automated testing, deployment, and operational monitoring.

Preferred Qualifications

  • Experience working with economic, financial, or research-oriented data environments.
  • Knowledge of time-series data analysis and forecasting methodologies.
  • Experience with NoSQL databases and graph database technologies.
  • Experience developing, training, deploying, and maintaining machine learning models.
  • Familiarity with advanced analytics, statistical modeling, and predictive analytics.
  • Experience supporting Federal Government agencies or highly regulated organizations.

Desired Competencies

  • Exceptional analytical and problem-solving skills.
  • Strong troubleshooting and root-cause analysis capabilities.
  • Excellent written and verbal communication skills.
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Strong customer-service mindset and collaborative approach.
  • Self-motivated, detail-oriented, and results-driven professional.

Why Join DAS?

  • Work on mission-critical initiatives supporting the Federal Reserve Board.
  • Collaborate with leading economists, researchers, and technology professionals.
  • Contribute to innovative data modernization and analytics programs.
  • Competitive compensation and benefits package.
  • Opportunities for professional growth and career advancement.
  • Hybrid work environment in the Washington, D.C. metropolitan area.

Equal Employment Opportunity

Diverse Agile Solutions (DAS) is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable federal, state, or local laws.

Apply Today

If you are a highly motivated Data Engineer with a passion for building modern, scalable data solutions and supporting impactful economic research initiatives, we encourage you to apply and join the DAS team supporting the Federal Reserve Board in Washington, D.C.