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

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 ...

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

... DevOps or GitHub. * Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions. * Set up monitoring solutions using Azure Monitor ...

... DevOps or GitHub. * Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions. * Set up monitoring solutions using Azure Monitor ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

... DevOps or GitHub. * Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions. * Set up monitoring solutions using Azure Monitor ...

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

... DevOps or GitHub. * Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions. * Set up monitoring solutions using Azure Monitor ...

... DevOps or GitHub. * Collaborate with cross‑functional teams to understand data requirements and implement effective data integration solutions. * Set up monitoring solutions using Azure Monitor ...

Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across Test & Learn and other Services products. In this ...

Data Engineer Expert

Herndon, VA · On-site

$117K - $141K/yr

... data solutions. What will you do? Design, develop, and maintain scalable data models, data ... Engineering, or related field preferred Minimum of 11 years of experience as a Data Engineer or ...

Cloud Big Data Software Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Design and implement big data solutions in cloud environments * Develop and maintain data pipelines ... Proficiency in programming languages like Python or Java * Experience with cloud platforms like AWS ...

Showing results 41-60

Data Solutions Developer information

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.

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 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, DC?

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

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

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

Infographic showing various Data Solutions Developer job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Manager, Big Data

Beyond SOF

Washington, DC • On-site

Full-time

Re-posted 13 days ago


Job description

Role Summary:
The Big Data Manager is
responsible for overseeing the
development and
implementation of big data
solutions to support business
operations.
Main Responsibility and duties:
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 and trends.
Develop and implement
quantum-enhanced big data
solutions. Collaborate with
quantum engineers to
integrate quantum
technologies into big data
projects.