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Remote Hedge Fund Data Engineer Jobs (NOW HIRING)

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years. This is hands-on engineering position requiring ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Data Engineer

$117K - $140K/yr

Data Engineer Client : Infosys/First citizens bank We are hiring Data Engineer to lead the design ... Remote/ Infosys hub location if client asked (Pheonix, Arizona - Indianapolis, Indiana - Raleigh ...

Showing results 41-60

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 Aug 21, 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 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 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.

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:

Infographic showing various Remote Hedge Fund Data Engineer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$117K - $140K/yr

Full-time

Re-posted 25 days ago


Job description

Title: Senior Data Engineer
Location: Remote

Duration: 06 Months (C2H Role)
Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS
Position Summary:
The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
  • 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
  • Tech Skills:
    • Strong experience in Python Scripting and PySpark for data processing
    • Proficiency in SQL, dealing with big data over Informatica ETL
    • Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
    • Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
    • Expertise in BASH/Shell scripting
    • Experience in Data Build Tool (DBT) or similar data transformation tools
    • Experience in Mulesoft API
    • Nice to have: Kafka, Tableau
  • Strong understanding of healthcare data systems and experience leading data engineering teams
  • Experience in Agile environments.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.

Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.