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Remote Hedge Fund Data Engineer Jobs in Seattle, WA

Ziply Fiber

Data Engineer

Kirkland, WA · Remote

$70K - $104K/yr

Data Engineer Base Salary: $101,800 to $142,300 annually DOE Benefits: Medical, dental, vision ... Ability to work independently in a remote environment and collaborate effectively across teams.

New

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

TEKsystems

Telemetry Data Engineer

Redmond, WA · On-site +1

$55 - $64/hr

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... This Telemetry Data Engineer will play a key role in building automated frameworks that validate ...

Human Agency

AI Resilience Fund Manager

Seattle, WA · Remote

$78K - $107K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar ...

KP LLC

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong experience with Quadient Inspire, modern data hygiene platforms, and data transformation processes ...

Casne Engineering, Inc.

Be Seen First

Power Studies Engineer - SKM / Data Centers (SCCAF) - Remote

Bellevue, WA · Remote

$90K - $110K/yr

... Engineer to support a growing portfolio of electrical power system studies for large-scale and hyperscale data center clients. The primary focus of this fully remote position is short-circuit ...

Posted today

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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All JobsHedge Fund Data Engineer JobsRemote Hedge Fund Data Engineer JobsRemote Hedge Fund Data Engineer Jobs in Seattle, WA

Remote Hedge Fund Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Aug 26, 2026, the average yearly pay for remote hedge fund data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 are the most commonly searched types of Hedge Fund Data Engineer jobs in Seattle, WA?

The most popular types of Hedge Fund Data Engineer jobs in Seattle, WA are:

What are popular job titles related to Remote Hedge Fund Data Engineer jobs in Seattle, WA?

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

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

The top searched job categories for Remote Hedge Fund Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Hedge Fund Data Engineer jobs?

Cities near Seattle, WA with the most Remote Hedge Fund Data Engineer job openings:

Remote Hedge Fund Data Engineer jobs near you
Infographic showing various Remote Hedge Fund Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 27 days ago

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.