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Contract Data Engineering Jobs in Virginia (NOW HIRING)

Dark Wolf Solutions

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to ... Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts.

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and ... as well as contract-specific affordability and organizational requirements. The projected ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and ... as well as contract-specific affordability and organizational requirements. The projected ...

advansix

Big Data Engineer

Hopewell, VA · On-site

$104K - $156K/yr

Data Engineering & Modeling · Build ingestion pipelines (batch, CDC, streaming) from S/4HANA ... Collaboration & Documentation · Partner with Reporting & BI on semantic model contracts, RLS, and ...

advansix

Big Data Engineer

Chester, VA · On-site

$104K - $156K/yr

Data Engineering & Modeling · Build ingestion pipelines (batch, CDC, streaming) from S/4HANA ... Collaboration & Documentation · Partner with Reporting & BI on semantic model contracts, RLS, and ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and ... as well as contract-specific affordability and organizational requirements. The projected ...

IT America Inc

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

AWS Data Engineer Location: Richmond, VA (Onsite) Duration: Long term contract Note: Ex-CapitalOne candidates preferred, especially those who worked atleast 1+ yr of exp with them. Job ...

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Contract Data Engineering information

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are the most commonly searched types of Data Engineering jobs in Virginia?

The most popular types of Data Engineering jobs in Virginia are:

What are popular job titles related to Contract Data Engineering jobs in Virginia?

For Contract Data Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Contract Data Engineering jobs in Virginia look for?

The top searched job categories for Contract Data Engineering jobs in Virginia are:

What cities in Virginia are hiring for Contract Data Engineering jobs?

Cities in Virginia with the most Contract Data Engineering job openings:

Contract Data Engineering jobs near you

Data Engineer - Expert

Dark Wolf Solutions

Chantilly, VA • Hybrid

$165K - $200K/yr

Full-time, Contractor

Posted 4 days ago

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking an Expert Data Engineer to lead the architectural development, scaling, and governance of enterprise-grade data platforms. You will be responsible for designing high-throughput data meshes, establishing automated data quality frameworks, optimizing distributed compute clusters, and ensuring high resilience across air-gapped and multi-cloud networks.

Key Responsibilities

  • Lead the architectural design and implementation of distributed, high-throughput batch and streaming data platforms.
  • Optimize distributed execution engines (Spark, Trino/Presto) to handle petabyte-scale datasets under strict SLAs.
  • Implement Infrastructure as Code (IaC) to provision data platform assets across multi-cloud infrastructure.
  • Establish zero-trust security controls, data lineage tools, and automated compliance scanning for regulated data environments.
  • Act as a Technical Pod Lead, driving Agile sprint deliverables, establishing technical standards, and mentoring data engineering staff.

Qualifications:

  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 7-10+ years of data engineering experience.

Technical Competencies:

  • Data Processing Frameworks: Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines.
  • Database Systems: Deep understanding of distributed systems internals, LSM trees, column-family stores, and lakehouse storage formats (Delta Lake, Apache Iceberg, Apache Hudi).
  • Data Modeling: Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts.
  • Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform development.
  • Containerization: Advanced Kubernetes cluster management, custom operators for data platforms, and service mesh integration.
  • Agile Frameworks: Proven experience acting as a Technical Lead or Scrum Master directing engineering pods.
  • Multi-Cloud Architecture: Advanced experience architecting multi-cloud and hybrid cloud data platform solutions (IaC via Terraform).
  • Security Scanning Tooling: Deep understanding of DevSecOps pipelines, automated compliance testing, and secret rotation management.

Desired Qualifications:

  • Advanced Certifications: AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer.
  • Proven track record architecting data solutions for deployment in air-gapped or high-assurance defense networks.

Position Clearance Requirement: 

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph


Location:  Chantilly/Herndon, VA. 

Target Salary Range: $165,000.00 - $200,000.00 (Commensurate with specialized expertise and technical skillset).


Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

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