Senior Data Engineer – Capital Markets

Fynetra; Boston (MA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Exposure to capital markets and investment workflows

Job summary

Fynetra, located in Boston, is seeking a Senior Data Engineer to design and build the next generation of data platforms. This role involves hands-on engineering as well as architectural planning, closely working with investment teams and technology partners.

The ideal candidate will have experience in building modern data platforms and strong skills in Python and SQL, contributing to data quality and governance frameworks within a capital markets setting.

Qualifications

• Strong experience building modern data platforms end to end.
• Advanced Python and SQL skills in production environments.
• Solid understanding of data modeling and warehouse design.

Responsibilities

• Designing and maintaining cloud and on-prem data pipelines.
• Building scalable ingestion, processing, and storage solutions.
• Supporting and improving data governance, quality, and metadata frameworks.

Skills

Data platform development

Python

SQL

Data modeling

Cloud platforms

Data governance

Communication

Education

Degree in computer science, engineering, or a related field

Tools

Cloud data platforms

Analytics tooling

Job description

This is a senior data engineering role within a capital markets–focused investment environment where data quality, governance, and scalability directly support trading, research, and portfolio decisions.

You’ll help design and build the next generation of data platforms — covering ingestion, processing, governance, and analytics — while working closely with investment teams and technology partners. The role balances hands‑on engineering with architectural thinking and ownership.

This is a strong fit for someone who wants to build durable data systems in a fast‑moving, investment‑driven setting.

What You’ll Be Working On

• Designing and maintaining cloud and on‑prem data pipelines
• Building scalable ingestion, processing, and storage solutions
• Supporting and improving data governance, quality, and metadata frameworks
• Developing production‑grade Python and SQL‑based data solutions
• Partnering with investment, research, and analytics teams on data needs
• Supporting BI and reporting platforms used by business users
• Contributing to architecture decisions, reviews, and technical standards
• Mentoring engineers and helping shape the data engineering roadmap

What They’re Looking For

• Strong experience building modern data platforms end to end
• Advanced Python and SQL skills in production environments
• Solid understanding of data modeling and warehouse design
• Experience with cloud data platforms and analytics tooling
• Familiarity with orchestration, automation, and CI/CD practices
• Understanding of data governance, quality controls, and lineage
• Clear communicator who can work across technical and non‑technical teams

Experience with streaming data, real‑time processing, or large‑scale analytics environments is a plus.

Background

• Degree in computer science, engineering, or a related field
• Senior‑level experience in data or software engineering roles
• Proven ability to own systems from design through delivery

Why This Role

• Data is treated as a strategic investment asset
• Direct exposure to capital markets and investment workflows
• Strong ownership and influence over platform direction
• Hybrid working with a high‑performing, delivery‑focused team