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Remote Hedge Fund Data Engineer Jobs in Reston, VA

Lead Consultant, Data Engineer

Arlington, VA ยท On-site +1

$120K - $150K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

Showing results 41-60

Remote Hedge Fund Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do remote hedge fund data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote hedge fund data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Hedge Fund Data Engineer vs Remote Quantitative Analyst?

AspectRemote Hedge Fund Data EngineerRemote Quantitative Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data engineering toolsBachelor's or higher in Mathematics, Statistics, or related; programming skills in Python, R
Work EnvironmentFinancial firms, hedge funds, or asset management companies; focus on data pipelinesResearch firms, hedge funds, or investment banks; focus on modeling and analysis
Employer & Industry UsageCommonly employed in hedge funds for data infrastructureUsed for developing trading strategies and risk models in finance

The main difference is that Remote Hedge Fund Data Engineers focus on building and maintaining data systems, while Remote Quantitative Analysts develop models and strategies. Both roles require strong analytical skills, but their daily tasks and focus areas differ within the hedge fund industry.

What does a remote hedge fund data engineer do?

A Remote Hedge Fund Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure that support the data needs of a hedge fund, all while working from a remote location. They collect, process, and analyze large volumes of financial and market data to enable investment strategies and decision-making. This role often involves working with modern data technologies, ensuring data quality, and collaborating with portfolio managers, analysts, and other engineers. Remote Data Engineers must also ensure secure and efficient data flow, troubleshoot issues, and optimize data systems for performance.

What are the key skills and qualifications needed to thrive as a remote hedge fund data engineer?

To thrive as a Remote Hedge Fund Data Engineer, you need strong programming skills (typically in Python, SQL, or Java), a solid understanding of financial data structures, and a degree in computer science, engineering, or a related field. Expertise in cloud platforms (such as AWS or Azure), data pipeline tools (like Apache Spark or Airflow), and experience with big data technologies are commonly required, along with relevant certifications. Exceptional analytical thinking, attention to detail, and clear communication help you proactively solve complex problems and collaborate effectively with distributed teams. These skills are crucial for ensuring the timely, accurate, and secure processing of large-scale financial data that drives investment decisions.

How does a remote hedge fund data engineer typically collaborate with portfolio managers and quantitative analysts?

As a Remote Hedge Fund Data Engineer, you will frequently work alongside portfolio managers and quantitative analysts to ensure access to timely, high-quality data for investment decision-making. Collaboration often involves gathering requirements for new data sources, supporting the development and maintenance of data pipelines, and troubleshooting data quality issues. Effective communication is essential, as you'll need to translate business needs into technical solutions and provide ongoing support for data-driven strategies, all while working within a distributed team environment. Regular virtual meetings, shared documentation, and version control tools help maintain alignment and foster a collaborative workflow.
What are popular job titles related to Remote Hedge Fund Data Engineer jobs in Reston, VA? For Remote Hedge Fund Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Hedge Fund Data Engineer jobs in Reston, VA look for? The top searched job categories for Remote Hedge Fund Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Hedge Fund Data Engineer jobs? Cities near Reston, VA with the most Remote Hedge Fund Data Engineer job openings:
Infographic showing various Remote Hedge Fund Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Senior Data Engineer

Absolute Business Solutions Corp

Bethesda, MD โ€ข On-site, Remote

$113K - $154K/yr

Other

Retirement, PTO

Posted 5 days ago


Job description

Absolute Business Solutions Corp (ABSC) is not just another tech company. Were a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years weve supported critical Department of Defense (DoD), Intelligence Community (IC), Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields. As we continue to grow at a rapid pace, we need some amazing new professionals to join our team.

ABSC is seeking a mission-driven Senior Data Engineer to join our high-impact team supporting the National Digital Exploitation and Open Source Center (NDOC) DOMEX Technology Platform (DTP). In this role, you will help improve data intelligence pipelines serving both Open Source Intelligence (OSINT) operations and document media exploitation for the Department of War (DoW) and the broader Intelligence Community (IC). Youll play a critical role in developing a future state AI-managed DOMEX Data Discovery Platform (D3P) and DIA-NDOCs mission.

While the work is primarily conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.

Security clearance required for this role: An Active TS/SCI with ability/willingness to obtain a CI polygraph is required.

Responsibilities:

As a Senior Data Engineer, you will design, develop, and optimize scalable data management solutions supporting advanced analytics and AI/ML workloads. Working closely with data scientists, software engineers, and infrastructure teams, you will build and maintain Elasticsearch and graph-based data platforms that enable efficient storage, discovery, and analysis of complex hierarchical data.Ability to become a POSTMAN power user to support the discovery of critical intelligence insights.

  • Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical classification structures, ensuring high-performance search, aggregation, and update operations.
  • Design, implement, and maintain a graph data store supporting hierarchical graph structures optimized for large, dense batch updates and high-throughput analytics.
  • Develop scalable ingestion pipelines that support scalable graph analytics.
  • Design data schemas, indexing strategies, and partitioning approaches to maximize query performance, scalability, and storage efficiency.
  • Collaborate with infrastructure and platform engineering teams to deploy, operate, and optimize Elasticsearch and graph database services in a Kubernetes environment using cloud-native technologies.
  • Partner with Data Scientists and AI/ML engineers to ingest, curate, manage, analyze, and securely expunge datasets throughout the data lifecycle.
  • Develop automated data loading, transformation, validation, and quality assurance pipelines supporting production analytics workflows.
  • Optimize graph and search infrastructure for high availability, resilience, and performance under large-scale analytical workloads.
  • Collaborate with software engineers and system architects to integrate graph and search services into microservice-based applications.
  • Participate in SAFe Agile development activities, including sprint planning, design reviews, architecture discussions, and technical demonstrations.
  • Foster a culture of innovation, collaboration, and professional development within the team.
  • Ensure sound engineering practices, compliance with policies, and delivery of high-quality software.
  • Coordinate with test teams to develop and monitor automated system integration tests.
  • Engage with cross-functional teams to identify and develop high-value integrations with other systems/applications.
  • Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.

Requirements:

To be successful in this role you need (required):

  • Bachelors degree in Computer Science, Data Engineering, or related field and 1215 years of relevant experience, or Masters with 1013 years of experience.
  • Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.
  • Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
  • Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph.
  • Data modeling for hierarchical and highly connected datasets.
  • Large-scale ETL/ELT pipeline development.
  • Kubernetes deployment and operations for stateful data services.
  • Distributed storage systems and high-volume data ingestion.
  • Python or Java for data engineering and automation.

Desired Skills:

You will wow us even more if you have some of these:

  • Experience supporting AI/ML and data science workflows. Apache Kafka or similar streaming technologies.
  • Experience with Linux, containerization, CI/CD pipelines, and Infrastructure-as-Code.
  • Graph analytics frameworks and algorithms, including graph traversal, centrality, community detection, similarity analysis, and link prediction.
  • Experience with Keycloak, and security best practices (authN/Z, secrets management).
  • Experience building and maintaining microservices in Kubernetes.
  • Familiar with infrastructure-as-code (CloudFormation, Terraform, Pulumi).

Salary is commensurate with education and years experience. Salary range for this requisition is: $125k-$255k annual.

Who we are:
ABSC is a technology and services company that combines the agility of a small business with proven processes refined over more than two decades in business. We specialize in supporting public sector clients in the Intelligence, Defense, Health, and Safety areas. Our team stands ready to deliver the next generation of programs, personnel, and solutions to help advance our federal government customers driving innovation, agility, and security across all mission areas.

Some of our benefits include:

  • Generous PTO plus 11 Federal Holidays
  • Retirement Planning 401k Fully Vested with Match
  • Annual Health and Wellness Allowance buy an Apple Watch, a treadmill, or hit the gym on us
  • Career Development Annual Funds to spend on Education and Training
  • Volunteer Time Off Annually, all employees can spend 8 hours directly supporting a charity of choice
  • Charitable Match ABSC matches an employees donation to a qualifying charity
  • Referral Program We pay for internal and external referrals!
  • LOV Awards Earn bonus awards throughout the year from our Living Our Values awards program

Apply to join our team today! We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them. ABSC offers generous external referral bonuses. You dont need to be an employee to benefit from our Referral Program.

*ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application.*

Equal Opportunity Employer, including veterans and individuals with disabilities.