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Contract Data Pipeline Engineer Jobs in Virginia

Bespoketechinc

AI Data Pipeline Engineer

Reston, VA · On-site

$120 - $150/hr

BT-326 - AI Data Pipeline Engineer Skill Level: Senior Principal Location: Reston, VA MUST HAVE A POLY CLEARANCE TO APPLY Required Skills/Capabilities: * Experience working with geospatial data types ...

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Data Pipeline Engineer (Junior - Mid) Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government ...

Serviss

Senior Data Pipeline Engineer (Elastic)

Arlington, VA · On-site +1

$121K - $165K/yr

Senior Data Pipeline Engineer Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and ...

Cymertek

Data Conditioning Systems Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... data pipelines. If you are driven to work on innovative projects that impact critical business ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Cymertek

Data Conditioning Systems Engineer

Tysons, VA · On-site

$114K - $138K/yr

... data pipelines. If you are driven to work on innovative projects that impact critical business ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Cymertek

Data Conditioning Systems Engineer

Reston, VA · On-site

$119K - $143K/yr

... data pipelines. If you are driven to work on innovative projects that impact critical business ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

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Contract Data Pipeline Engineer information

What is a contract data pipeline engineer?

Contract Data Pipeline Engineers are professionals hired on a temporary or project basis to design, build, and maintain systems that move and process large volumes of data. They develop data pipelines that extract data from various sources, transform it into usable formats, and load it into storage systems or databases. Their work ensures data is efficiently collected, processed, and made accessible for analysis or business operations. Contract roles typically require strong skills in programming, data architecture, and cloud technologies, and may focus on specific projects or timeframes rather than permanent employment.

What are some common challenges faced by contract data pipeline engineers when working with new clients or projects?

As a Contract Data Pipeline Engineer, one of the most common challenges is quickly understanding and adapting to the client's existing data infrastructure and business requirements. Each client may use different tools, data sources, and workflows, so it’s important to rapidly assess and integrate new technologies. Additionally, contract roles often have tight deadlines, requiring efficient communication with data engineers, analysts, and stakeholders to ensure deliverables meet expectations. Balancing the need for robust, scalable solutions with the constraints of a limited contract period is also a frequent consideration.

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

To thrive as a Contract Data Pipeline Engineer, you need strong expertise in data engineering, ETL processes, and proficiency with programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as experience with SQL and big data technologies, is typically required. Excellent problem-solving skills, adaptability, and clear communication are vital soft skills for collaborating with diverse teams and responding to evolving project requirements. These skills and qualities are crucial for building reliable, scalable data pipelines that deliver accurate insights to drive business decisions.

What is the difference between Contract Data Pipeline Engineer vs Data Engineer?

AspectContract Data Pipeline EngineerData Engineer
CredentialsTypically requires a degree in computer science or related field, with experience in data pipeline toolsSimilar credentials, often with advanced certifications in data management or cloud platforms
Work EnvironmentContract roles, often project-based, working with teams on specific data pipeline tasksFull-time or contract, working within data teams on broader data infrastructure
Industry UsageUsed across industries for short-term data pipeline projectsCommon in tech, finance, healthcare, and other data-driven sectors
Search & Comparison IntentOften compared for project-based roles or freelance opportunitiesViewed for long-term data infrastructure roles

While both roles involve managing data pipelines, Contract Data Pipeline Engineers typically work on short-term, project-specific tasks, whereas Data Engineers focus on building and maintaining comprehensive data infrastructure for organizations. The choice depends on whether you seek contract work or a permanent data engineering position.

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

The most popular types of Data Pipeline Engineer jobs in Virginia are:

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

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

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

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

What cities in Virginia are hiring for Contract Data Pipeline Engineer jobs?

Cities in Virginia with the most Contract Data Pipeline Engineer job openings:

Contract Data Pipeline Engineer jobs near you
Infographic showing various Contract Data Pipeline Engineer job openings in Virginia as of June 2026, with employment types broken down into 71% Full Time, 9% Part Time, and 20% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

AI Data Pipeline Engineer

Bespoke Technologies, Inc

Springfield, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 26 days ago

Job description

BT-326 - AI Data Pipeline Engineer
Skill Level- Senior Principal
Location- Reston, VA
**MUST HAVE A POLY CLEARANCE TO APPLY**
Required Skills/Capabilities:
  • Experience working with geospatial data types (rasters and vectors)
  • Experience building data pipelines to integrate data from multiple sources:
    • Designing and implementing readers to extract metadata from data sources, with a focus on flexible readers that can adapt to new and changing data formats.
    • Designing and implementing metadata enrichment capabilities, such as data providence, pedigree, lineage, and security attributes.
    • Designing and implementing event pipelines that orchestrate data cataloging processes for different data types, including processes for data extraction, normalization, enrichment, and ingestion.
    • Leveraging AI to enhance data extract, enrichment, catalog, and discovery capabilities
  • Experience with designing and building AI agents
  • Integrating mission data with LLMs using RAG and MCP
  • Designing and building Node.js applications and dashboards connected to Oracle Databases
  • OpenAI Codex
Desired Skills/Capabilities:
  • Oracle Cloud Infrastructure (OCI)
  • Oracle AI Database 26ai
  • Oracle Exadata and/or OCI Autonomous AI Database Service on Exadata
  • AI-enabling data in Oracle Databases using Vector data type, RAG, and MCP
  • Designing multi-modal databases that integrate multiple data types, including:
    • Relational
    • Spatial
    • JSON (including JSON Relational Duality)
    • Graph

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