2

Remote Hedge Fund Data Engineer Jobs in Minnesota

Data Engineer

Minnetonka, MN ยท On-site +1

$63K - $124K/yr

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

next page

Showing results 1-20

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 Minnesota?

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

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

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

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

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

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

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

Infographic showing various Remote Hedge Fund Data Engineer job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer

0101 The Huntington National Bank

Minnetonka, MN โ€ข On-site, Remote

$63K - $124K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago


Job description

This role will be onsite at our Easton Oval office in Columbus, OH (or in Dallas, TX, Minnetonka, MN). Summary Under general direction, the data engineer will devise and/or modify procedures and software to solve complex data problems considering data integrity, lineage, controls, and error handling. This includes data analysis, coding, designing controls, testing, debugging, and documenting as needed. You will be competent to work at a high technical level. Duties and Responsibilities Support data analysis, deployments, enhancements, and integrations between systems using various data patterns. In partnership with Solutions Architecture, provide recommendations or develop solutions and implement accordingly. Analyze and review existing or proposed data sources, controls, security, scalability and performance requirements with clients, and team members. Develop or modify software application design and specific modules. Conduct testing of new or customized data integrations to ensure specifications are met, alone or in partnership with QA resources. Document functions and changes to data integrations and ingestion patterns, test activities/results, error handling, and backup/recovery procedures. Serve as 3rd level support and assist lower tier support for ongoing maintenance and production issues. Complete work in an agile development environment and follow appropriate programming/engineering methodologies. Basic Qualifications Bachelor's Degree or 4+ additional years of equivalent experience. 3+ years of related experience in IT data engineering and analysis. 1+ years of experience with data solutions leveraging SQL, Java, Springboot, and/or Python. Preferred Qualifications 3-5+ years of IT data engineering and analysis. Familiarity with big data platforms (Snowflake, AWS, GCP). Ability to engineer data solutions using ETL tools or develop APIs as needed. Bachelor's Degree or equivalent work experience. Sound knowledge of Software Development Life Cycle (SDLC) and Agile frameworks. Financial Industry Experience preferred, or other regulated industries - IT Risk, Audit, and/or Information Security experience, Knowledge of SAS AML or Actimize product suite. Knowledge of version and revision control practices and procedures. Knowledge of design and programming techniques that provide security. Ability to debug code and/or troubleshoot and analyze defects. Understanding of data control frameworks and handling approaches. Ability to work independently and multitask within a collaborative work environment. Willingness and aptitude for continuous improvement. Do the right thing attitude while being a strong team player. Strong communication and collaboration skills, focus on customer service. Exempt Status Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis. Compensation Range Compensation Range: $63,000 - $124,000 Annual Salary The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. Benefits Health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Equal Opportunity Employment Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Accessibility & Reasonable Accommodations We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of this site or if you require a reasonable accommodation to apply for a job or to perform the essential functions of the job, please send an email to HuntingtonCareers@Huntington.com. EEOC Disclaimer Know Your Rights CA Data Privacy CA Data Privacy Rights Tobacco Disclaimer Tobacco-Free Hiring Practice #J-18808-Ljbffr