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Data Engineer Project Jobs in Fairfax, VA (NOW HIRING)

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Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Data Engineer / Data Project Lead Location: Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the ...

Data Engineer

Alexandria, VA · On-site

$110K - $166K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... Project Summary AIS is seeking a Data Engineer for an AI Engineering contract supporting a federal ...

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI / ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Advise as a SME all data engineering projects, ensuring optimal data availability and use. * Automate, and optimize data workflows across hybrid cloud platforms on both classified and unclassified ...

Jr Data Engineer

Chantilly, VA

$117K - $140K/yr

Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers ...

Data Engineer

Springfield, VA · On-site

$110K - $165K/yr

Everforth ECS seeks a Data Engineer to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team ...

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer Location: Onsite in Fairfax, VA 3 days and in Washington, DC 2 days per week ... Lead large-scale data migration projects involving legacy-to-modern platforms, cloud migrations ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS Modernization project. PRIMARY RESPONSIBILITIES: * Design and build data pipelines using tools like SSIS. * ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and ...

Snowflake Data Engineer

MD · On-site

$100K - $155K/yr

Bachelor's Degree in a related field * 6 years of experience performing large-scale data engineering projects * 3 years using the Snowflake platform, SQL, and cloud data engineering. * Experience ...

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Data Engineer Project information

See Fairfax, VA salary details

$47K

$168.7K

$248.9K

How much do data engineer project jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer project in Fairfax, VA is $168,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $173,800.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Fairfax, VA?

For Data Engineer Project jobs in Fairfax, VA, the most frequently searched job titles are:

What cities near Fairfax, VA are hiring for Data Engineer Project jobs?

Cities near Fairfax, VA with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project job openings in Fairfax, VA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $168,676 per year, or $81.1 per hour.

Data Engineer

ResolveSoft Inc

Washington, DC • Remote

$98K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

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Job description

Position: Data Engineer / Data Project Lead
Location: Remote

Position Summary

The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client’s National Customer Service Improvement Project (CSIP). This role is responsible for leading the design, development, integration, maintenance, and continuous improvement of data pipelines, workflow and task management solutions, and analytical tools that support the Client’s grants management, oversight, and decision-making needs.

The Data Engineer / Data Project Lead oversees data-focused staff assigned to the contract, ensures high-quality, secure, and sustainable data solutions, and applies user-centered, iterative approaches to data project delivery in alignment with federal policies and system requirements.

 

Primary Responsibilities

  • Lead planning, execution, and delivery of data management and data engineering projects supporting Office of Head Start program oversight and operations.
  • Apply iterative and flexible project management approaches to prioritize work based on value, user needs, and level of effort.
  • Coordinate closely with the Project Manager to align data project priorities with contract deliverables and performance metrics.
  • Supervise and provide technical direction to data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists.
  • Design, build, and maintain data pipelines, integrations, and automation processes using federally compliant tools and platforms.
  • Support integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools.
  • Maintain and enhance workflow and task tracking solutions, including Smartsheet-based tools (e.g., SmartFlow).
  • Support the use of the Client’s Data Layer and cloud-based infrastructure to enable scalable, secure data processing and analysis.
  • Ensure data accuracy, integrity, and alignment across systems, mitigating competing sources of truth.
  • Implement and support data quality assurance, validation processes, and governance practices appropriate for federal environments.
  • Ensure documentation of data structures, pipelines, and processes to support knowledge transfer and continuity.
  • Lead development of data products, dashboards, reports, and automated outputs that support grants management, monitoring, and leadership decision-making.
  • Support generation of standardized documents and correspondence through automated data integration where appropriate.
  • Enable data-informed decision-making through improved access to timely, relevant, and well-structured data.
  • Analyze data workflows and business processes to identify opportunities for efficiency, automation, and improvement.
  • Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials.
  • Support the development of training materials and guidance to promote consistent use of data tools and solutions.
  • Respond to data-related inquiries and support ad hoc and recurring data requests from Client staff and leadership.
  • Participate in briefings, meetings, and planning sessions related to data management initiatives.
  • Support coordination across technical and programmatic teams to ensure solutions align with operational needs.

Required Qualifications

  • Bachelor’s degree in computer science, information systems, data science, or a related field from an accredited institution.
  • 10+ years of progressively responsible post-baccalaureate professional experience in data engineering, data management, or related technical roles.
  • 3+ years of supervisory or technical team leadership experience.
  • 3+ years of experience designing and managing complex, high-profile, multi-faceted data projects.
  • 3+ years of experience with data integration, ETL processes, database design, and data pipelines.
  • 1+ years of experience in early childhood education and/or Head Start programs.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.

Preferred Qualifications

  • Experience supporting federal information systems or federal grant programs.
  • Experience in applying AI or advanced analytics in data pipelines.
  • Demonstrated ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Proven ability to address team and stakeholder issues and support problem resolution.
  • Proficiency in SQL and at least one programming language (e.g., Python).
  • Experience with APIs, data integration, and automation tools.
  • Experience with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data governance, security, and federal information system requirements.
  • Familiarity with project management methodologies; Agile/Scrum experience preferred.


Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.