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Remote Data Pipeline Engineer Jobs in Virginia (NOW HIRING)

Serviss

Senior Data Pipeline Engineer

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 ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/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 ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/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 · On-site +1

$150K - $180K/yr

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

Gnw

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... You're comfortable owning end-to-end pipelines, improving data quality and reliability, and ...

Genworth Financial

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... You're comfortable owning end-to-end pipelines, improving data quality and reliability, and ...

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

This is a fully remote position. Here, your work is more than a job - it's a journey in innovation ... Design, implement, and maintain data pipelines and ETL processes supporting ingestion ...

Kobie Marketing

Sr. Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines ...

Kobie Marketing

Sr. Data Engineer

Richmond, VA · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines ...

Polar IT Services

AWS Data Engineer

Roanoke, VA · On-site +1

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer ... pipelines 3. Tableau experience is nice to have EVP This role can sit 100% remote in approved ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years ... Git, Docker, Jenkins, CICD Pipelines etc.) * 3+ Years Experience working on streaming data ...

GRVTY

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... Experience building end-to-end data pipelines leveraging Python * Experience using orchestration ...

Shift5

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Shift5

$185K - $220K/yr

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Support the design and development of data pipelines and ETL routines in Azure Cloud environment ...

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Remote Data Pipeline Engineer information

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

AspectRemote Data Pipeline EngineerData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's or higher in CS, Software Engineering; certifications like AWS or GCP often preferred
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote or on-site, enterprise or startup settings, cloud and on-premise infrastructure
Industry UsageTech, finance, healthcare, e-commerceSame as Remote Data Pipeline Engineer, broader focus on data infrastructure

Both roles focus on managing data workflows, but Remote Data Pipeline Engineers specialize in building and maintaining data pipelines specifically in cloud environments, often with a focus on ETL processes. Data Engineers have a broader scope, including designing data architectures and working with large-scale data systems. The roles overlap significantly, especially in skills and industry usage, but the Pipeline Engineer role emphasizes pipeline development and deployment in remote, cloud-based settings.

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 Remote Data Pipeline Engineer jobs in Virginia? For Remote Data Pipeline Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Pipeline Engineer jobs in Virginia look for? The top searched job categories for Remote Data Pipeline Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Pipeline Engineer jobs? Cities in Virginia with the most Remote Data Pipeline Engineer job openings:
Remote Data Pipeline Engineer jobs near you
Infographic showing various Remote Data Pipeline Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Pipeline Engineer

Serviss

Arlington, VA • On-site, Remote

$121K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

Job description

Senior Data Pipeline Engineer
Location: Washington D.C. Area / Remote
Employment Type: Full-TimeAbout SERVISS
At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and commercial clients, with a mission to secure systems, data, and critical infrastructure through innovation and expertise. We don't just deploy tools; we engineer mission platforms that become foundational systems of record for cyber operations, compliance automation, and national cyber readiness. From CISA CDM to DoW mission enclaves, our work shapes how government sees, governs, and defends its digital terrain.
On the DHS CDM Data Services Program, our engineers build the data pipelines and Elasticsearch platforms that give agency stakeholders a unified, single-pane-of-glass view of their cyber terrain.
Position Summary
SERVISS is seeking a Senior Data Pipeline Engineer to join an established, mission-critical Pipeline team on the DHS CDM Data Services / BETSIE Program. In this senior role, you will take a leading technical role in the data ingestion and pipeline function that collects asset and cyber-intelligence data from SaaS platforms, primarily Armis and Axonius, and delivers it into Elasticsearch to power a unified single-pane-of-glass dashboard for agency stakeholders.
Our customer's requirements are dynamic and complex. The ideal candidate can engage resources and work across teams to decompose large, complex problems into workable solutions, set technical direction, and mentor junior engineers. An aptitude for strategic planning and the ability to communicate effectively at all levels of the organization are a must. The successful candidate will also serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting the requirements-gathering process.
The Work
This is a hands-on engineering role. The selected candidate will:
  • Architect, automate, and maintain scalable, fault-tolerant data processing pipelines that ingest asset, vulnerability, and configuration data from Armis, Axonius, and other SaaS/API sources into Elasticsearch
  • Handle high-volume, high-velocity data collection, processing, and indexing to support near-real-time visibility
  • Design Elasticsearch index strategies, mappings, ingest pipelines, and transforms; normalize disparate source data to a common schema (e.g., Elastic Common Schema) for consistent search, correlation, and reporting
  • Build and maintain Kibana dashboards and visualizations that deliver a true single-pane-of-glass view of the agency's technical posture
  • Own API integration patterns against evolving vendor APIs, including authentication and token management, pagination, rate limiting, incremental/delta ingestion, and resilient error handling and retry logic
  • Implement automated reconciliation and data-quality checks to ensure ingested data is complete, consistent, and accurate against source systems; document and maintain data lineage and traceability of transformed data back to source
  • Manage index lifecycle (ILM), retention, sharding, and cluster performance tuning for high-volume, low-latency operations
  • Instrument pipelines with monitoring, alerting, and logging so data-flow issues are detected and resolved before they reach stakeholders
  • Follow programming best practices, emphasizing code reusability and highly automated CI/CD pipelines for scalability
Key Responsibilities
  • Serve as a leading technical resource for the data ingestion and pipeline function on the DHS CDM Data Services / BETSIE Program
  • Set technical direction and decompose large, complex problems into workable solutions across teams
  • Establish and enforce data governance, validation, and documentation standards; review designs and mentor junior engineers on the team
  • Serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting requirements gathering
  • Communicate complex data and pipeline concepts to non-technical audiences, translating them into actionable recommendations
Required Qualifications
  • US citizenship with the ability to obtain Public Trust Suitability
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (master's degree preferred)
  • A minimum of six years of experience designing, implementing, and managing the technical delivery of large-scale data engineering or data pipeline services to diverse organizations
  • 4+ years hands-on with Elasticsearch or OpenSearch: index design, mappings, ingest pipelines, query/aggregation, and cluster performance tuning
  • Strong experience integrating REST APIs from SaaS platforms, including authentication, pagination, rate limiting, incremental ingestion, and resilient error handling
  • Proficiency with a scripting/pipeline language (Python strongly preferred) and with ETL/ELT tooling such as Logstash, Elastic Agent/Beats, or equivalent
  • Experience designing, implementing, and managing data schemas that comply with cyber-relevant data standards and frameworks, e.g., SCAP, STIX, OTEL, Elastic Common Schema, and Splunk Common Information Model
  • Knowledge of data transformation processes and experience documenting and maintaining data lineage, especially traceability of transformed data to source data
  • Solid data modeling and normalization skills for heterogeneous sources, including mapping to a common schema
  • Knowledge of Federal Cybersecurity and Risk Management policies and practices, including FISMA; NIST SP 800-37, 800-53, 800-30, and 800-39; and FedRAMP
  • Solid understanding of Git, version control workflows, and CI/CD

Preferred Qualifications
  • Direct experience integrating Armis and/or Axonius, or comparable CAASM / asset-intelligence platforms (e.g., Tenable, Qualys, ServiceNow)
  • Experience utilizing data cataloging and governance tools (e.g., Alation, Collibra)
  • Containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible)
  • CI/CD tooling (GitLab CI, Jenkins) and DevSecOps practices in cloud (AWS GovCloud / Azure Government a plus)
  • Experience with monitoring/observability tooling and data-reconciliation frameworks
  • Knowledge of cybersecurity tools and technologies
  • Active DHS Public Trust or prior EOD
  • Familiarity with Agile / SCRUM methodologies
  • Strong problem-solving and analytical skills, with a sense of urgency and the ability to prioritize and balance multiple tasks
Freedom to Thrive.
Why Join SERVISS? Our goal as an employer is simple yet profound: to create an environment where you can be your best self, pursue your passions, and enjoy the freedom to thrive both personally and professionally. Your success is our success, and we're committed to supporting you every step of the way.
  • Highly competitive compensation and best in class benefits
  • 100% of medical, vision, dental, and life insurance premiums paid for by SERVISS
  • Be part of an exciting company with ground floor opportunities in the Equity Participation Program
  • Opportunities for annual performance bonuses and growth incentives
  • 401(k) retirement plan with 6% dollar for dollar match
Additional Considerations for HUBZone applicants:
Preference may be given to applicants residing in a federal HUBZone in support of SERVISS LLC's HUBZone workforce objectives; all qualified candidates are encouraged to apply.
How to Determine HUBZone Residency:
Candidates can verify HUBZone eligibility by entering their home address into the SBA HUBZone Map at https://maps.certify.sba.gov/hubzone/map. If your residence falls within a designated HUBZone area on the map, you are considered a HUBZone resident for hiring preference purposes.

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