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Remote Lead Data Engineer Jobs in Reston, VA (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data ... This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data ... This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ...

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

Humana

Lead Data Scientist

Washington, DC · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Washington, DC · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Washington, DC · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Washington, DC · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

BlueLabs, Inc.

Data Engineer II

Washington, DC · On-site +1

$95K - $125K/yr

Lead the design and implementation of Kimball-style dimensional models and star schema ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

Bixal

Data Engineer

Fairfax, VA · On-site +1

$130K - $135K/yr

We are seeking a skilled and motivated Data Engineer to join our dynamic team as we continue to ... Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks ...

Shift5

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

GRVTY

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... The Palantir Data Engineer leverages advanced Python skills within a small team to develop and ...

Humana

Lead Data Scientist

Washington, DC · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Washington, DC · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$120K - $160K/yr

TS/SCI with Poly Potential for 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 ...

Bixal

Data Engineer

Fairfax, VA · On-site +1

$130K - $135K/yr

We are seeking a skilled and motivated Data Engineer to join our dynamic team as we continue to ... Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

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All JobsLead Data Engineer JobsRemote Lead Data Engineer JobsRemote Lead Data Engineer Jobs in Reston, VA

Remote Lead Data Engineer information

See Reston, VA salary details

$44.2K

$128.8K

$187.8K

How much do remote lead data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote lead data engineer in Reston, VA is $128,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $140,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Lead Data Engineer, and why are they important?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a Remote Lead Data Engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a Remote Lead Data Engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
What are popular job titles related to Remote Lead Data Engineer jobs in Reston, VA? For Remote Lead Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Lead Data Engineer jobs in Reston, VA look for? The top searched job categories for Remote Lead Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Lead Data Engineer jobs? Cities near Reston, VA with the most Remote Lead Data Engineer job openings:
Remote Lead Data Engineer jobs near you
Infographic showing various Remote Lead Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,780 per year, or $61.9 per hour.
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Re-posted 16 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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