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Remote Hedge Fund Data Engineer Jobs in Pittsburgh, PA

Data Engineer

Pittsburgh, PA · Remote

$117.20K - $140.70K/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

$111.20K - $133.50K/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 ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117.20K - $140.70K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Data Engineer

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines ... Benefits Hybrid, remote and flexible on-site work schedules are available, based on the position.

Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines ... Benefits Hybrid, remote and flexible on-site work schedules are available, based on the position.

Data Engineer, Databricks

Pittsburgh, PA · Remote

$107K - $128.50K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... As a Data Engineer in this role, you will be responsible for designing, building, and maintaining ...

New

Senior Data Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Senior, Data Engineer

Coraopolis, PA · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

Geospatial Data Engineer or Mapping Systems Engineer * Digital Twin Specialist or Terrain Pipeline Engineer * GIS Analyst or Remote Sensing Scientist ...and you are the person who finds it more ...

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Remote Hedge Fund Data Engineer information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

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

As of May 28, 2026, the average yearly pay for remote hedge fund data engineer in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Remote Hedge Fund Data Engineer jobs in Pittsburgh, PA? For Remote Hedge Fund Data Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Hedge Fund Data Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Remote Hedge Fund Data Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Hedge Fund Data Engineer jobs? Cities near Pittsburgh, PA with the most Remote Hedge Fund Data Engineer job openings:
Data Engineer

Data Engineer

Data Ideology

Pittsburgh, PA • Remote

$117.20K - $140.70K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com 

Data Engineer

We are looking for a Data Engineer to join our growing team. Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

  • Ability to collect and understand business requirements and translate those requirements into an actionable data warehouse plan.
  • Knowledge of multi-dimensional and tabular design patterns and ability to identify solutions that leverage these modeling techniques.
  • Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse built within those constraints.
  • Ability to define and implement best practices across database design and ETL.
  • Ability to direct the work of others, including but not limited to directing ETL development, demonstrating an understanding of key concepts of ETL/ELT, including best practices for optimization and scheduling.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • Proven understanding of Data Warehousing, Data Architecture, and BI.
  • Experience with data pipelines and architecture/engineering.
  • Knowledge of modern apps and data platforms.
  • Cloud-based project implementation.
  • Python or Java experience is a plus

Knowledge, Skills, and Abilities:

  • BI/Data Warehousing (4+ years)  
  • Cloud platforms (2+ years) 
  • ETL (4+ years)  
  • SQL (4+ years) 
  • Data Modeling 
  • Data Vault Modeling 
  • Healthcare experience a plus 

Work Environment: 

  • Remote work from home. 
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 

Physical Demands: 

  • Must be able to remain in a stationary position 50% of the time. 
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits: Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
 

Data Ideology is an EEO Employer 

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