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

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

ACD Direct

Techops Engineer -Mid Level

Farmington, UT · Remote

$52K - $85K/yr

TechOps Engineer - Mid Level About the Role? We're looking for a hands-on Mid-Level TechOps ... Although position is remote employee will be required to visit data center on a quarterly basis. It ...

Infotech Sourcing

Design Engineer V

Logan, UT · On-site +1

US - UT - Remote (144200) Job Title: Core Engineering - Design Engineer V PCB Layout Engineer, AR ... Create and modify engineering tool project templates, meta-data, configuration data, and rules.

ACD Direct

Techops Engineer -Senior Level

Farmington, UT · Remote

$99K - $136K/yr

TechOps Engineer - Senior About the Role? We're hiring a Senior TechOps Engineer to own the ... Although position is remote employee will be required to visit data center on a quarterly basis. It ...

Wood Plc

Senior Electrical Engineer

Salt Lake City, UT · On-site +1

$104K - $135K/yr

... remote working. Key Responsibilities * Provide leadership and mentoring to junior staff * Lead ... Data collection, coordination, analyses, report generation, and design development * Effective ...

Egnyte

Senior Sales Engineer - AEC

Draper, UT · Remote

$125K - $140K/yr

SENIOR SALES ENGINEER - AEC US REMOTE; RALEIGH, NC, DRAPER, UT EGNYTE YOUR CAREER. SPARK YOUR ... data. When joining Egnyte, you're not just landing a new career, you become part of a team of ...

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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 are popular job titles related to Remote Hedge Fund Data Engineer jobs in Utah?

For Remote Hedge Fund Data Engineer jobs in Utah, the most frequently searched job titles 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:

Remote Hedge Fund Data Engineer jobs near you

AI Solutions Engineer

Applause

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Life, PTO

Re-posted 9 hours ago

Job description

Hiring Manager: Jeff Martin, CTO
We're looking for an AI Solutions Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.
Responsibilities:
  • AI Workflow Roadmap & Delivery
    • Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
    • Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
    • Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
    • Iterate and fine-tune workflows post-launch based on usage and feedback
  • Systems & Integrations
    • Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
    • Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
    • Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
  • Adoption, Training & ROI
    • Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
    • Troubleshoot adoption issues directly with end users rather than escalating them
    • Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
    • Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
    • Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change

Requirements
    • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
    • 2-4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
    • Able to write and modify code for simple, internal business applications (even if AI writes most of it)-production-grade or engineering-quality code is not required
    • Programming Languages: Javascript/Typescript preferred
    • Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
    • Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
    • Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
    • Strong communicator who can train and troubleshoot with non-technical users
    • Detail-oriented with strong ownership over initiatives, start to finish
    • Very effective in a remote work environment

Benefits
Benefits: 100% remote w/ no office mandate Unlimited PTO 20 official company holidays Health care Life insurance Stock options Amazing colleagues Energetic culture that is positive and celebrates together Inspiring mission & software product Ability to grow your career by being early in a fast-growing tech startup
About Applause
Applause is a SaaS start-up founded by experienced entrepreneurs and backed by the best VCs in Silicon Slopes. We're focused on helping companies supercharge their team's performance so they can win more lifelong customers. Learn more about our company and culture here:

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