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Data Solutions Developer Jobs in Washington (NOW HIRING)

Senior Solutions Engineer - Southeast

Washington, DC · On-site +1

$62.75 - $81/hr

... graph data platform and manage the technical aspects of the sales cycle. You will help ... Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth ...

AWS Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Build data-engineering solutions using Python and PySpark. * Process and transform large structured and unstructured datasets. * Develop cloud-based data solutions using AWS services. * Monitor data ...

Data Solution Architect

Mclean, VA · On-site

$140K - $180K/yr

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data ... Experience in crafting data lakehouse solutions (Preferably Databricks). This includes relational ...

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data ... Experience in crafting data lakehouse solutions (Preferably Databricks). This includes relational ...

Data Solution Architect

Mclean, VA · On-site

$140K - $180K/yr

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data ... Experience in crafting data lakehouse solutions (Preferably Databricks). This includes relational ...

Data Solution Architect

Mclean, VA · On-site

$140K - $180K/yr

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data ... Experience in crafting data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure ...

Data Solution Architect

Mclean, VA · Hybrid

$140K - $180K/yr

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data ... Experience in crafting data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure ...

Data Solution Architect

Mclean, VA · Hybrid

$140K - $180K/yr

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data ... Experience in crafting data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure ...

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 ...

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 ...

Data Engineer

Washington, DC · On-site

$126K - $152K/yr

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully ... Experience working with source control tools such as Git and Azure DevOps. * Strong knowledge of ...

New

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 ...

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?

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:

Infographic showing various Data Solutions Developer job openings in Washington as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution.

Enterprise Sales Director Data Governance & Enterprise Data Solutions

MethodHub

Washington, DC • On-site

Other

Re-posted 21 days ago


Key responsibilities

  • Generate net-new enterprise revenue through existing executive relationships and industry network.

  • Own the complete enterprise sales cycle from opportunity identification through contract execution.

  • Build relationships with Chief Data Officers, CIOs, Enterprise Architects, Data Governance Leaders, Data Engineering Directors, and Digital Transformation executives.


Job description

Sales Director / Senior Sales Manager Data Governance & Enterprise Data Solutions

Location: US - Virginia / Washington DC (Hybrid preferred)

Duration: Long term contract

Experience: 8-15 Years

About US:

We help enterprises govern their data through consulting, implementation, and AI-powered data solutions. Our core capabilities span Data Governance, Master Data Management (MDM), Data Engineering, Cloud Data Platforms, AI, and Analytics.

We are looking for an experienced enterprise sales professional with deep domain knowledge in enterprise data management and an established network of data leaders across large enterprises.

About the Role

This role prioritizes relationship-driven enterprise sellers with a proven closure track record. Candidates reliant on inbound leads or campaign-driven BD models may not be suitable.

This role is responsible for driving new enterprise business focused on Data Governance, Master Data Management (MDM), Data Engineering, and Enterprise Data Modernization.

The ideal candidate has extensive experience selling consulting and implementation services around enterprise data platforms and understands how organizations build modern data foundations. Success in this role comes from existing executive relationships, consultative selling, and consistently closing strategic enterprise engagements.

Key Responsibilities

Generate net-new enterprise revenue through existing executive relationships and industry network.

Own the complete enterprise sales cycle from opportunity identification through contract execution.

Build relationships with Chief Data Officers, CIOs, Enterprise Architects, Data Governance Leaders, Data Engineering Directors, and Digital Transformation executives.

Identify and close strategic consulting and implementation opportunities ranging from USD 250K to USD 2M+.

Position capabilities across:

o Data Governance

o Master Data Management (MDM)

o Data Quality

o Data Engineering

o Cloud Data Platforms

o AI-enabled Data Solutions

Work closely with solution architects and delivery leadership to shape winning proposals.

Develop strategic partnerships with technology vendors and implementation partners where appropriate.

Qualification

8-15+ years of enterprise technology sales experience.

Strong track record selling Data Governance, Master Data Management (MDM), Data Engineering, or Enterprise Data Management services.

Demonstrated success closing large consulting or professional services engagements.

Existing relationships with enterprise data leaders across Fortune 1000 or large mid-market organizations.

Strong understanding of enterprise data architecture and modern data platforms.

Excellent executive communication, negotiation, and relationship management skills.

Highly self-driven with the ability to independently build and close business.

Preferred Experience working for

Enterprise consulting firms

Global System Integrators (GSIs)

Boutique Data & AI consultancies

MDM or Data Governance software vendors

Additional accelerators for:

Self-originated opportunities

Strategic enterprise wins

Multi-year engagements

Why Join US:

High-growth AI and Data consulting company with strong enterprise delivery capabilities.

Opportunity to shape a rapidly expanding Data Governance and AI practice.

High autonomy with direct access to executive leadership.

Competitive compensation with uncapped earning potential.

Ability to sell strategic transformation programs rather than commodity services.