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Remote Hedge Fund Data Engineer Jobs (NOW HIRING)

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer

Boston, MA · On-site +1

$60 - $62/hr

Remote (The person can be remote, though local to Boston.) Details: Client is seeking a Data Engineer to design, develop, implement discrete data pipelines in support of RAG-based retrieval ...

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions ...

Data Engineer

$117K - $140K/yr

Data Engineer (Remote - Federal Contract Opportunity) We are seeking a Data Engineer to support U.S. Federal clients in designing, building, and maintaining scalable data solutions. This role focuses ...

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

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Remote Hedge Fund Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 17, 2026, the average yearly pay for remote hedge fund data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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, and why are they important?

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.
More about Remote Hedge Fund Data Engineer jobs
What cities are hiring for Remote Hedge Fund Data Engineer jobs? Cities with the most Remote Hedge Fund Data Engineer job openings:
What are the most commonly searched types of Hedge Fund Data Engineer jobs? The most popular types of Hedge Fund Data Engineer jobs are:
What states have the most Remote Hedge Fund Data Engineer jobs? States with the most job openings for Remote Hedge Fund Data Engineer jobs include:
What job categories do people searching Remote Hedge Fund Data Engineer jobs look for? The top searched job categories for Remote Hedge Fund Data Engineer jobs are:
Infographic showing various Remote Hedge Fund Data Engineer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer (remote)

$82K - $122K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 19 days ago


Job description

Human Services Research Institute (HSRI) is seeking a full-time Data Engineer. The Data Engineer will support the growth of leading-edge health and human service data projects that use data to transform care across the nation. This role is responsible for working simultaneously on more than one project within a team that includes technical experts, data engineers, data scientists, research associates, project managers, and subject matter experts – to achieve project goals and deliverables. 


The Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support organizational analytics, reporting, and data quality initiatives. This role works independently on complex data engineering tasks and owns end-to-end data pipelines, integrations, and performance optimization using SQL, Python, and Microsoft Azure technologies.


Who We Are 

HSRI is a nonprofit organization that conducts research and evaluation to improve health and human service systems. We work at the local, state, and federal levels. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practices to address root causes of disparities and improve health outcomes. 


Our teams have an unwavering commitment to envisioning equitable policies and solutions that create a stronger society for us all. HSRI is an equal opportunity employer and is committed to building a diverse team, bringing as many possible perspectives as possible to bear on services that can profoundly affect people’s health and well-being by addressing social determinants of health. We are committed to building an inclusive environment where people of all backgrounds can come to do their best work.


What We’re Looking For

HSRI is looking for an individual who thrives in a fast-paced environment, works collaboratively, and respectfully engages with diverse perspectives. The ideal candidate can build trusted relationships with internal teams, clients, community organizations, and other partners; understand their goals and challenges; recommend practical solutions; and partner with internal teams to deliver high-quality results on time and within budget.

 

Responsibilities

  • Design, develop, and maintain scalable data pipelines and automation workflows
  • Own and optimize ETL/ELT processes using SQL, Python, and Azure data technologies
  • Develop and maintain REST APIs and other data integration mechanisms
  • Integrate new and external data sources into production data environments
  • Monitor, test, and optimize data systems for performance and reliability
  • Define and implement data quality checks and reporting frameworks
  • Design and maintain dashboards, scorecards, and reports
  • Collaborate with cross-functional teams to improve data systems
  • Mentor Associate Data Engineers
  • Attend staff, team, and other required meetings and trainings

 

Minimum Qualifications

  • Bachelor’s degree in computer science, information systems, or related field (or equivalent experience)
  • 3–5 years of experience in data engineering or related roles
  • Strong proficiency in SQL and Python
  • Experience with Azure data services and data pipeline design
  • Experience building and optimizing data pipelines, architectures, and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Excellent attention to detail
  • Awareness of DevOps and Agile principles
  • Intermediate to advanced expertise with RESTful APIs, XML, JSON, C#, JavaScript, jQuery, and Azure Data Factory
  • Promote teamwork and team-building

 

Location 

This is a remote position with an option to work from our Cambridge, MA, office, which is accessible by public transportation. HSRI does not permit remote work arrangements based in the U.S. Virgin Islands, Puerto Rico, and outside the United States. Must have unrestricted authorization to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

 

Hours

  • Full-time, Monday-Friday, 40 hours per week
  • This position allows flexibility in core hours 


Additional Information

HSRI offers a comprehensive benefits package which includes: 

  • Health 
  • Dental 
  • Short- and long-term disability 
  • Life Insurance 
  • 403(b) retirement plan 
  • Flexible spending accounts 
  • Education assistance program
  • 10 paid holidays
  • Remote work stipends (e.g., home office improvements, internet/mobile services) 


Salary Range

$82,100-$122,150

Pay is commensurate with skills and experience. 

HSRI is committed to pay equity in providing employees with equal pay for equal work and carefully considers a wide range of compensation factors, including, but not limited to, prior experience, education, certification(s), license(s), skills, expertise, location, internal equity, and other factors that are job-related and consistent with the organization’s needs. Our offer of employment takes into consideration total compensation, including benefits.

For more information on HSRI, please visit www.hsri.org.

How to Apply 

Interested candidates are encouraged to submit a cover letter and resume/CV through HSRI’s Career Center. 

You can copy/paste the URL into your browser: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=9199cf31-c52e-4b8f-b6c1-bfd2a6cce9e0&ccId=9201183405653_2&type=JS&lang=en_US&selectedMenuKey=CareerCenter

You can also mail materials to:  

Attention: Human Resources 

Human Services Research Institute 

2336 Massachusetts Ave. 

Cambridge, MA 02140 

No phone calls or email inquiries, please.