1

Data Engineer Investment Management Jobs (NOW HIRING)

We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you ...

We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you ...

We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you ...

We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you ...

Data Engineer

Conshohocken, PA · On-site

$112K - $135K/yr

We invest heavily in our people and our partners, giving you the platform to enrich lives ... $1.0 trillion in assets under management and supervision, composed of $146.1 billion in ...

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

This role requires deepexpertisein modern data engineering, distributed data processing ... Experience in Investment Management or Financial Services preferred. #LI-LW1 Compensation Pay ...

Data Engineer

Conshohocken, PA · On-site

$112K - $135K/yr

We invest heavily in our people and our partners, giving you the platform to enrich lives ... $1.0 trillion in assets under management and supervision, composed of $146.1 billion in ...

Data Engineer

Manhattan, NY · Remote

$75 - $85/hr

Genesis10 is seeking a Data Engineer for a 6 month + contract position with an investment management firm. This is a remote position (Target EST/CST for collaboration) Summary: We are looking for an ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... grow with a team that invests in you? Learn more: www.myacuity.com Are you ready to use your ... We're a management and technology consulting firm supporting critical federal missions, where you ...

Data Engineer

Glendale, CA

$121K - $145K/yr

Contract Role Overview A forward-thinking, agile team is seeking a Data Product Manager to lead the ... Use AI-assisted tools to prototype ideas, speed up discovery, and de-risk engineering investment.

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... grow with a team that invests in you? Learn more: www.myacuity.com Are you ready to use your ... We're a management and technology consulting firm supporting critical federal missions, where you ...

next page

Showing results 1-20

Data Engineer Investment Management information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer investment management jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data engineer investment management in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer in Investment Management, and why are they important?

To thrive as a Data Engineer in Investment Management, you need strong skills in data modeling, SQL, and ETL processes, along with a background in computer science or a related field. Experience with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., AWS Certified Data Analytics) are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication make professionals stand out in this position. These skills are crucial for ensuring accurate data pipelines and analytics that support informed investment decisions and regulatory compliance in a data-driven industry.

What are Data Engineers in Investment Management?

Data Engineers in investment management are professionals who design, build, and maintain the infrastructure that enables financial firms to collect, store, and analyze large volumes of financial data. They work with tools and systems such as data pipelines, databases, and cloud platforms to ensure data is accurate, accessible, and secure. Their work supports investment analysts, portfolio managers, and other stakeholders by providing reliable data for making informed investment decisions. Data engineers often collaborate with data scientists and IT teams to optimize data workflows and maintain compliance with regulatory standards.

What is the difference between Data Engineer Investment Management vs Data Analyst Investment Management?

AspectData Engineer Investment ManagementData Analyst Investment Management
Primary RoleBuilds and maintains data pipelines, manages data infrastructureAnalyzes data to generate reports and insights
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness units, finance teams
Industry UsageFinancial firms, asset management companiesInvestment firms, hedge funds

While Data Engineer Investment Management focuses on building and maintaining the data infrastructure, Data Analyst Investment Management interprets data to provide actionable insights. Both roles are essential in investment management but serve different functions within the data ecosystem.

How does a Data Engineer in Investment Management typically collaborate with portfolio managers and analysts?

Data Engineers in Investment Management work closely with portfolio managers and analysts to ensure that data pipelines deliver accurate and timely information for investment decisions. They gather requirements from the investment team, design data solutions to aggregate market, transactional, and alternative data, and frequently participate in meetings to align on data quality and reporting needs. This collaborative environment means you’ll need strong communication skills and the ability to translate technical details into actionable insights for non-technical colleagues. Successful Data Engineers often become trusted partners who enable more effective investment strategies through robust data infrastructure.
Infographic showing various Data Engineer Investment Management job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Fisher Investments rating

8.4

Company rating: 8.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

It's an exciting time to be a member of the Fisher Investments Technology Department. We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to support our global growth, we want to hear from you!

 

The Opportunity:

Fisher Investments is looking for a Data Engineer – Data to design and deliver modern data solutions using cloud-based platforms and AI-driven innovations. You will partner with business, technology, and governance teams to enable scalable, secure and compliant data platforms that power advanced analytics and AI. You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to their assigned systems. You will report to the team lead of Data Delivery for our Global Private Client Group.

The Day-to-Day: 

  • Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
  • Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems
  • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
  • Develop and deploy structured, semi-structured, and unstructured data storage models and dimensional data models on various platforms to meet business requirements
  • Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
  • Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
  • Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
  • Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth

Your Qualifications:

  • 5+ years' experience developing data-related solutions and software
  • 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
  • 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies
  • 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components
  • 2+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines
  • Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software
  • Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases
  • Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar
  • Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software
  • Bachelor's degree in Computer Science, Information Technology, or other relevant field

Compensation:

  • $90,000 - $150,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
  • Eligible for a discretionary bonus based on firm and individual performance

Why Fisher Investments:

We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:

  • 100% paid medical, dental and vision premiums for you and your qualifying dependents
  • A 50% 401(k) match, up to the IRS maximum
  • 20 days of PTO, plus 10 paid holidays 
  • Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
  • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. 

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER


What Fisher Investments employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom