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Remote Hedge Fund Data Engineer Jobs in Fall River, MA

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building and supporting large-scale, business-critical systems on Public Cloud (Azure/AWS/Google Cloud ...

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

Mondo

Data Platform Tech Lead

Fall River, MA · Remote

$130K - $150K/yr

Remote (must reside within driving distance of Fall River, MA for ~once-monthly onsite ... This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting ...

Tiger Analytics Inc.

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Partner with product owners, domain architects, and data engineering teams to translate business ...

Bcbsri

Manager Data Platform Operations

Providence, RI · On-site +1

$133K - $213K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Working closely with data engineering, application engineering, infrastructure, security ...

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... The developer works closely with business stakeholders, analytics teams, and data engineering ...

Harris

(Remote) AI Champion

Carolina, RI · Remote

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Harris

(Remote) AI Champion

Carolina, RI · Remote

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Bcbsri

Manager Data & Integration Platforms

Providence, RI · On-site +1

$151K - $243K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Lead a multidisciplinary engineering and product management team to design, deliver, and optimize ...

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All JobsHedge Fund Data Engineer JobsRemote Hedge Fund Data Engineer JobsRemote Hedge Fund Data Engineer Jobs in Fall River, MA

Remote Hedge Fund Data Engineer information

See Fall River, MA salary details

$44.7K

$130.2K

$178.2K

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

As of Aug 24, 2026, the average yearly pay for remote hedge fund data engineer in Fall River, MA is $130,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $138,000.00 per year, depending on experience, location, and employer.

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 job categories do people searching Remote Hedge Fund Data Engineer jobs in Fall River, MA look for?

The top searched job categories for Remote Hedge Fund Data Engineer jobs in Fall River, MA are:

What cities near Fall River, MA are hiring for Remote Hedge Fund Data Engineer jobs?

Cities near Fall River, MA with the most Remote Hedge Fund Data Engineer job openings:

Remote Hedge Fund Data Engineer jobs near you

Lead Data Engineer - Databricks & Microsoft Fabric

Lighthouse MTG LLC

Lincoln, RI • Remote

$93K - $123K/yr

Contractor

Re-posted 17 days ago

Job description

Description

 Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire 


Lead Data Engineer

Databricks & Microsoft Fabric


Overview

Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.

This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.

The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.


Responsibilities

Design and implement modern data platforms using Databricks and Microsoft Fabric
Build and maintain scalable data pipelines and ingestion frameworks
Develop and optimize Spark and PySpark workloads within Databricks
Implement lakehouse and data warehouse architectures
Design and manage data models supporting analytics and reporting
Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
Implement data quality, governance, and security best practices
Provide technical leadership and mentorship to data engineering team members
Optimize performance, reliability, and scalability of data platforms


Requirements


7+ years of experience in data engineering or data platform development 

Strong hands-on experience with Databricks and Apache Spark  

Experience implementing Microsoft Fabric data solutions  

Proficiency in Python and PySpark  

Experience working with Azure data services and cloud-based data platforms  

Experience designing modern lakehouse or data warehouse architectures  

Strong understanding of data pipeline design, ETL/ELT processes, and data modeling


Preferred

Experience supporting AI or machine learning workloads  

Experience working in enterprise data environments  

Familiarity with CI/CD and data platform automation 

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