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Data Pipeline Jobs in Washington (NOW HIRING)

AI Data Pipeline Engineer

Reston, VA ยท 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 ...

Data Pipeline Engineer (Junior - Mid)

Arlington, VA ยท 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 ...

Senior Data Pipeline Engineer (Elastic)

Arlington, VA ยท 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 ...

Data Engineer with Security Clearance

Reston, VA ยท On-site

$119K - $143K/yr

Monitor data pipeline performance and troubleshoot issues as needed * Collaborate with data analysts, data scientists, and software engineers to understand data needs * Ensure data quality, integrity ...

Data Engineer IV

Fulton, MD ยท On-site

$111K - $134K/yr

The ideal candidate brings experience in data engineering, data pipeline architecture, ETL, SQL, AWS, automation, and large-scale data processing, with the ability to identify and implement ...

Data Engineer III

Fulton, MD ยท On-site

$111K - $134K/yr

The ideal candidate brings experience in data engineering, data pipeline architecture, ETL, SQL, AWS, automation, and large-scale data processing, with the ability to identify and implement ...

Data Engineer II

Fulton, MD ยท On-site

$111K - $134K/yr

Tharros is seeking a Data Engineer to support a Department of Defense customer in designing, developing, and maintaining scalable data pipelines and infrastructure supporting complex mission and ...

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Showing results 1-20

Data Pipeline information

See Washington salary details

$25.8K

$132.2K

$214.7K

How much do data pipeline jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data pipeline in Washington is $132,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,261.00 and $166,954.00 per year, depending on experience, location, and employer.

What does a data pipeline do?

A Data Pipeline job involves designing, building, and maintaining systems that automate the flow of data from various sources to storage and processing destinations. It includes extracting data from databases, APIs, or streaming sources, transforming it into the desired format, and loading it into data warehouses, lakes, or analytics platforms. The role requires expertise in data engineering, ETL (Extract, Transform, Load) processes, cloud computing, and workflow orchestration tools. Strong knowledge of programming languages like Python or SQL and experience with frameworks like Apache Airflow or Spark is often essential. The goal is to ensure data is efficiently collected, processed, and made available for analysis and decision-making.

What skills and qualifications are needed for a data pipeline?

To excel in a Data Pipeline role, you need strong skills in data engineering, programming (often Python, Java, or Scala), and experience with ETL (Extract, Transform, Load) processes, usually supported by a degree in computer science or a related field. Familiarity with technologies such as Apache Spark, Hadoop, Airflow, Kafka, and cloud platforms like AWS or GCP, along with relevant data engineering certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are critical for success in this position. These technical and interpersonal skills are essential for building, maintaining, and optimizing reliable data workflows that support business decision-making.

What are common challenges faced in data pipeline roles, and how are they addressed?

Professionals in Data Pipeline roles often encounter challenges such as handling large volumes of rapidly changing data, ensuring data quality, and minimizing downtime during data transfers. Addressing these issues typically involves implementing robust error-handling processes, automating data validation steps, and using scalable, resilient technologies. Collaboration with data analysts, software engineers, and business stakeholders is key to ensuring that pipelines meet organizational needs and remain flexible with evolving requirements. Continuous learning and adapting to new tools or frameworks also help Data Pipeline engineers stay ahead in this dynamic field.

Are data pipeline jobs in demand?

Data pipeline jobs are in high demand due to the increasing need for data integration, processing, and management across industries. Professionals with skills in tools like Apache Airflow, Spark, and cloud platforms are particularly sought after, and the role often requires knowledge of data engineering and scripting. The demand is expected to grow as organizations continue to rely on data-driven decision making.

What job categories do people searching Data Pipeline jobs in Washington look for?

The top searched job categories for Data Pipeline jobs in Washington are:

Infographic showing various Data Pipeline job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $132,201 per year, or $63.6 per hour.

AI Data Pipeline Engineer

Bespoke Technologies, Inc

Springfield, VA โ€ข On-site

$119K - $143K/yr

Full-time

Re-posted 5 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