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Remote Data Pipeline Jobs in Reston, VA (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

Data Pipeline Development: Create and maintain data pipelines to efficiently move data from source ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Build and Maintain Data Pipelines: * Develop and maintain reliable data pipelines thatmove and ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

... Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and maintain data pipelines and ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Essential Functions Design, develop, and maintain data pipelines, AI frameworks and integration ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Essential Functions • Design, develop, and maintain data pipelines, AI frameworks and integration ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Essential Functions • Design, develop, and maintain data pipelines, AI frameworks and integration ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Essential Functions Design, develop, and maintain data pipelines, AI frameworks and integration ...

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$109K - $148K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The Opportunity: Data is only as powerful as the pipelines that move it, the structure that organizes ...

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Showing results 1-20

All JobsRemote Data Pipeline JobsRemote Data Pipeline Jobs in Reston, VA

Remote Data Pipeline information

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

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

What are popular job titles related to Remote Data Pipeline jobs in Reston, VA? For Remote Data Pipeline jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Pipeline jobs in Reston, VA look for? The top searched job categories for Remote Data Pipeline jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Pipeline jobs? Cities near Reston, VA with the most Remote Data Pipeline job openings:
Remote Data Pipeline jobs near you
Infographic showing various Remote Data Pipeline job openings in Reston, VA as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • Remote

$115K - $139K/yr

Full-time

Posted 2 days ago

Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote. 
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

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