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Senior Data Engineer (Financial Services) - Columbus, OH

Anson McCade • Ohio Metropolitan Area
Relocation
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Join a high-growth financial services consultancy as a Senior Data Engineer to design scalable data pipelines, ensure data reliability, and collaborate with stakeholders to drive decision-making. Leverage expertise in cloud platforms, SQL, and Python to optimize analytics and business operations in a fast-paced environment. Relocation support available for qualified candidates.

Key Highlights
Build and maintain critical data pipelines for investment and analytics functions in financial services
Work with AWS, SQL, Python, and modern data orchestration tools (e.g., Airflow)
5+ years of experience in data engineering, preferably in hedge funds or asset management
Key Responsibilities
Design and develop scalable data pipelines for ingesting data from external and internal sources
Build and enhance centralized data platforms to support analytics and business operations
Ensure data quality, reliability, and integrity across critical datasets while troubleshooting pipeline issues
Technical Skills Required
SQL Python Amazon Web Services
Benefits & Perks
Up to $180,000 base salary
Comprehensive relocation support available
Comprehensive benefits package
Nice to Have
Experience with Git and data orchestration tools (e.g., Airflow)
Familiarity with hedge funds, asset management, or broader financial services environments
Strong understanding of data quality, testing, and platform reliability

Job Description

Data Engineer

Financial Services Data Engineering

Location: Columbus, Ohio

Salary: Up to $180,000 + Benefits Package

About the Role

We're supporting a fast-growing technology consultancy delivering bespoke solutions to some of the most sophisticated organisations across financial services and capital markets.

This is an opportunity for an experienced Data Engineer to join a high-performing data team, building and maintaining critical data pipelines that support complex investment and analytics functions. You'll work closely with technical and business stakeholders to ensure high-quality, reliable data is available to drive decision-making in a fast-paced environment.

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