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Remote Hedge Fund Data Engineer Jobs in Raleigh, NC

HedgeServ supports employees through a variety of offerings, including remote and hybrid working ... Hedge fund experience is an advantage * Accounting, Economics, Finance, Mathematics or Business ...

HedgeServ supports employees through a variety of offerings, including remote and hybrid working ... Accounting, Finance, Legal or Business Degree. * 4+ years' experience working in a Hedge Fund ...

Senior ITSMA Observability Engineer

Raleigh, NC ยท On-site +1

$101K - $139K/yr

At HedgeServ, we're redefining what's possible in fund administration. With more than $700 billion ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Principal Data Scientist

Raleigh, NC ยท On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Provide technical leadership across machine learning, statistical modeling, feature engineering ...

Senior Manager, Data Engineering

Raleigh, NC ยท On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

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Remote Hedge Fund Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jul 16, 2026, the average yearly pay for remote hedge fund data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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 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, 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 are popular job titles related to Remote Hedge Fund Data Engineer jobs in Raleigh, NC? For Remote Hedge Fund Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Hedge Fund Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Hedge Fund Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Hedge Fund Data Engineer jobs? Cities near Raleigh, NC with the most Remote Hedge Fund Data Engineer job openings:
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.ย  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC)ย forย onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teamsย 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standardsย 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelorโ€™s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

โ€ข Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

โ€ข Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.ย 

Salary Rangeย 

$118-$150,872/Annuallyย 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.ย 

An excellent fringe benefit package accompanies the salary, which includes:ย ย 

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility