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Data Solutions Developer Jobs in Washington (NOW HIRING)

Steampunk

Data Solution Architect

Mclean, VA · On-site

$140K - $180K/yr

Experience providing technical leadership to cross-functional teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics, and machine learning solutions.

Steampunk

Data Solution Architect

Mclean, VA

$140K - $180K/yr

Experience providing technical leadership to cross-functional teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics, and machine learning solutions.

Booz Allen Hamilton

AI Solution Developer

Chantilly, VA · On-site

$99K - $225K/yr

R0229078 AI Solution Developer Key Role: Designs and implements effective AI solution architecture ... Knowledge of Big Data solutions and data migration technologies, and processes * Ability to deploy ...

Booz Allen Hamilton

AI Solution Developer

Chantilly, VA

$99K - $225K/yr

AI Solution Developer Key Role: Designs and implements effective AI solution architecture or ... Knowledge of Big Data solutions and data migration technologies, and processes * Ability to deploy ...

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary ... Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and ...

Bechtel

AI Solutions Engineer

Reston, VA

Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary ... Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and ...

Beyond SOF

Manager, Big Data

Washington, DC · On-site

Oversee the development and implementation of big data solutions. Collaborate with the engineering team to integrate big data solutions into projects. Stay updated on the latest big data technologies ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong ...

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All JobsData Solutions Developer JobsData Solutions Developer Jobs in Washington

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

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

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

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

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

What cities in Washington are hiring for Data Solutions Developer jobs?

Cities in Washington with the most Data Solutions Developer job openings:

Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in Washington as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Solution Architect

Steampunk

Mclean, VA • On-site

$140K - $180K/yr

Other

Posted 24 days ago

Job description

Overview
We are looking for a seasoned Data Solution Architect to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more! The Data Solution Architect needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.
Contributions
Responsibilities include:
  • Design greenfield data solution stacks in cloud and on-premises environments using modern data services, technologies, products, and industry best practices.
  • Lead and architect the migration of legacy data environments to ensure performance and reliability.
  • Assess data sources, data models, schemas, and data workflows to define scalable and maintainable enterprise data architectures.
  • Assess existing ETL jobs, data pipelines, workflows, BI tools, and reporting solutions to develop scalable modernization strategies and enterprise data solutions.
  • Address technical inquiries concerning customization, integration, enterprise architecture, and the general functionality of data products.
  • Design enterprise database, data warehouse, and lakehouse solutions using Databricks across AWS, Azure, or GCP environments.
  • Support an Agile software development lifecycle through architectural guidance and collaboration with cross-functional teams.
  • You will contribute to the growth of our Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. Government.
  • Experience supporting military data programs or holding a previous or active U.S. Government security clearance is preferred.
  • 12+ years of experience with a Bachelor's degree or 8+ years of experience with a Master's degree.
  • 8-12 years of industry experience in data engineering with a passion for solving complex problems.
  • 8-12 years of direct experience in Data Engineering with demonstrated experience in the following:
    • Designing and building data pipelines and data products on modern lakehouse platforms (e.g., Databricks, Apache Spark), including Delta Lake, distributed processing, and performance optimization.
    • Supporting or integrating GenAI/ML workflows (e.g., feature engineering, vector storage, RAW pipelines, or model lifecycle using tools such as MLflow).
    • Operating in enterprise or regulated cloud environments, including working within platform constraints, security controls, and data governance frameworks.
    • Building batch and streaming data pipelines using distributed processing frameworks (e.g., Apache Spark Structured Streaming) within a lakehouse architecture.
    • Implementing search and retrieval patterns for analytics or AI use cases (e.g., indexing, semantic search, vector-based retrieval).
    • Advanced proficiency in SQL and Python for data engineering, including query authoring, optimization, relational databases, and distributed data processing frameworks (e.g., Apache Spark).
  • Strong ability to lead technical discussions with technical and non-technical stakeholders, translating business needs into actionable data solutions, communicating tradeoffs, driving alignment, and guiding decision-making.
  • Demonstrated ability to evaluate solution feasibility, identify risks and constraints, and make pragmatic recommendations in complex or ambiguous environments.
  • Experience constructing complex queries to analyze results using databases or data processing development environments.
  • Experience architecting enterprise database, data warehouse, and lakehouse solutions.
  • Experience aggregating results and compiling information for reporting from multiple datasets.
  • Experience working in an Agile environment.
  • Experience providing technical leadership to cross-functional teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics, and machine learning solutions.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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