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Remote Hedge Fund Data Engineer Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that ... Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query ...

Remote Operations Engineer

Sandy, UT ยท On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Ability to read and interpret electronic data to make informed decisions related to processing ...

Data science software developer

Murray, UT ยท On-site +1

$124K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Data science software developer

Murray, UT ยท On-site +1

$124K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Data Scientist

Eden, UT ยท On-site +1

$170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure ... Communicate clearly and proactively in a remote-first environment Qualifications Required

Quality Assurance Engineer (Remote)

Salt Lake City, UT ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

An award-winning remote work environment POSITION OVERVIEW Quality Assurance Engineer is a ... Design, create, and maintain realistic and compliant test data sets, including synthetic data for ...

The ideal candidate will have a strong background in solution design, data management, and ... This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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Remote Hedge Fund Data Engineer information

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.

What are the most commonly searched types of Hedge Fund Data Engineer jobs in Utah?

The most popular types of Hedge Fund Data Engineer jobs in Utah are:

What job categories do people searching Remote Hedge Fund Data Engineer jobs in Utah look for?

The top searched job categories for Remote Hedge Fund Data Engineer jobs in Utah are:

What cities in Utah are hiring for Remote Hedge Fund Data Engineer jobs?

Cities in Utah with the most Remote Hedge Fund Data Engineer job openings:

Strategic Transformation, Data Operations - Associate

iCapital

Salt Lake City, UT โ€ข On-site, Remote

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

About the Role

iCapital is seeking a detail-oriented and technically capable Analyst or Associate to join Strategic Transformation team. This individual will own root-cause investigations of production data issues, contribute to ETL pipeline development, and act as the primary liaison between Fund Finance operations and engineering. This role will help define requirements, drive data quality initiatives, and build the tooling and dashboards that give stakeholders real-time visibility into exceptions and resolution status.

The Strategic Transformation Data team is an embedded data function within Fund Finance at iCapital. This team partners directly with Fund Operations, Technology, and Product teams to resolve data quality issues, build ETL pipelines, and deliver automation tooling that enables the business to scale. The team sits at the intersection of data engineering, business analysis, and operational transformation.

Responsibilities

  • Perform root-cause analysis of production data issues using SQL, working cross-functionally with engineering and operations teams to drive resolution.
  • Support and contribute to ETL pipeline development, collaborating closely with Product managers and engineers throughout the development lifecycle.
  • Serve as the primary liaison between fund administrators, business groups, and technology teams to manage and resolve data exceptions and discrepancies.
  • Collaborate with Product Managers to define, scope, and implement data projects for existing workflows and new product features.
  • Develop exception management tooling to strengthen data quality controls and produce metrics and dashboards that help stakeholders prioritize issue resolution.
  • Define clear business and technical requirement documents for engineering teams addressing new features or existing issues.
  • Build an in-depth understanding of end-to-end organizational data flows and their downstream impact on Fund Finance business processes.
  • Write test cases and perform UAT to ensure issues are identified and addressed before production deployment.
  • Identify and contribute to automation initiatives that reduce manual intervention in recurring data workflows, including reconciliation, ingestion monitoring, and exception handling.
  • Formalize operational knowledge into structured documentation, enabling the team to scale independently of individual expertise.

Qualifications

  • 2+ years of experience in a business analyst, data support, or application support role within financial services
  • Bachelor's degree or higher in computer science, business analytics, business administration, finance, or a related field
  • Proficiency in SQL for data analysis, investigation, and root-cause diagnostics
  • Proven ability to perform structured root-cause analysis and coordinate with engineers through investigation and resolution
  • Strong analytical and problem-solving skills, with the ability to translate complex data issues into clear business language
  • Excellent communication and stakeholder management skills and comfortable working across technical and non-technical audiences
  • Experience with private equity, hedge fund, or alternative investment operations and data
  • Familiar with ETL pipeline concepts, data ingestion patterns, or workflow automation
  • Experience writing Jira tickets or structured requirement documents for engineering teams
  • Exposure to AI-assisted tooling or automation frameworks and Python are a plus

Benefits

The base salary range for this role is $70,000 to $85,000.ย  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-usย  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.