ZipRecruiter

Log In

1

Data Developer Jobs in Washington, DC (NOW HIRING)

Deloitte

AI Data Engineer Manager

Mclean, VA · On-site

... Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design. • Gather inputs from multiple stakeholders to align ...

Deloitte

AI Data Engineer - Manager

Mclean, VA · On-site

... Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design. • Gather inputs from multiple stakeholders to align ...

Pantheon Data LLC

Data Engineer

Falls Church, VA

$122.10K - $146.70K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical stakeholders, such as program managers and clinical staff, to ensure data solutions meet mission ...

Pwc

Data Strategy-Senior Manager

Washington, DC · On-site

$124K - $280K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

National Resident Matching Program

Data Engineer

Washington, DC · On-site +1

$129.70K - $155.70K/yr

AWS Certified Developer certification is highly desirable. * The ideal candidate will have a combination of IT skills, data governance skills, and analytics skills. * Familiarity with undergraduate ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129.70K - $155.70K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

TriOptus LLC

Senior Data Analytics Developer

Mclean, VA · On-site

* Partner closely with various stakeholders to influence decisions with data and allow leaders to make key business decisions in a timely manner * Codify already available methodologies into functional ...

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

Role: Data Engineer. Location: McLean VA -hybrid Duration : Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads ...

Acuity INC

Data Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

next page

Showing results 1-20

People also search for

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 May 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 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.

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.

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 May 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 56% Physical, 28% Hybrid, and 16% Remote job distribution, with an average salary of $125,093 per year, or $60.1 per hour.
Big Data Engineer / Developer

Big Data Engineer / Developer

Accenture Federal Services

Washington, DC • On-site

$129.70K - $155.70K/yr

Other

Posted 14 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 424 rated business services

Job description

Job Overview: As a GCP Data Pipeline Developer & BigQuery Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines on Google Cloud Platform (GCP). Your role will involve working with BigQuery to analyze and optimize large datasets, as well as implementing ETL processes to ensure data quality and integrity. Proficiency in foundational GCP services, BigQuery, data engineering principles, SQL, and PySpark will be essential for success in this position. Additionally, experience with ETL tools such as Qlik Data Integration or FiveTran would be a valuable asset in this role.

In this role, you will have the opportunity to work on complex data projects that require a deep understanding of cloud-based data processing and analysis. Your expertise in GCP and BigQuery will be crucial in developing efficient data pipelines that meet the organization's data processing needs. Strong SQL skills will be necessary for querying and manipulating data within BigQuery, while experience with PySpark will enable you to perform advanced data transformations and analytics. Overall, your ability to leverage these tools and technologies effectively will be key to driving data-driven decision-making within the organization.

Key Responsibilities:

  • Develop and maintain GCP data pipelines.
  • Design and optimize BigQuery data structures.
  • Utilize SQL and PySpark for data processing.
  • Collaborate with team members on data engineering projects.
  • Implement ETL processes using tools like GCP Dataflow, Qlik Data Integration, or FiveTran.

Here's What You Need:

  • Proficiency in foundational GCP services.
  • Strong experience with BigQuery.
  • Solid understanding of data engineering principles.
  • Advanced SQL skills for querying and manipulating data.
  • Experience with PySpark for data transformations and analytics.
  • Familiarity with ETL tools such as Qlik Data Integration or FiveTran.
  • Ability to design and implement scalable data solutions.
  • Strong analytical and problem-solving skills.
  • Excellent collaboration and communication skills.
  • US Citizenship required, No Dual Citizenship

Bonus points if you have:

  • Experience with other cloud platforms and big data technologies.
  • Previous experience in a similar role within a data-driven organization.
  • Certifications related to GCP, BigQuery, or data engineering.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply