Data Engineer, Market Data

MIO Partners • New York, NY

1d • Hybrid

About The Position

MIO Partners Inc. is seeking a Data Engineer to join its Research & Investment Technology team and help build and scale its market data platform. This early- to mid-level role offers the opportunity to develop expertise at the intersection of data engineering and financial markets. The engineer will work with experienced engineers and architects to ingest, transform, and ensure the quality of market data from providers such as Bloomberg, LSEG, and ICE, using modern data pipelines and cloud-based infrastructure to support research and trading workflows.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related quantitative field.
• At least 5 years of experience working with financial datasets, preferably in buy-side (hedge fund) or capital markets environments, including experience with providers such as Bloomberg, ICE, or LSEG.
• Strong programming skills in Python and SQL.
• Hands-on experience with AWS, including services such as S3, Aurora, Athena, Redshift, and Lambda.
• Experience with CI/CD practices and AWS-native tooling.
• Familiarity with data governance, lineage, and data quality frameworks.
• Solid understanding of financial data concepts, including market data, security masters, time-series data, and reference data across asset classes such as commodities, fixed income, FX, and digital assets.
• Authorization to work in the U.S. without employer-sponsored work authorization, now or in the future.

Nice To Haves

• Experience building and maintaining ETL/ELT pipelines with orchestration tools.

Responsibilities

• Build and maintain ETL/ELT pipelines for market and reference data.
• Support data ingestion, transformation, and loading across systems.
• Monitor pipeline performance and troubleshoot issues under guidance.
• Analyze vendor datasets across asset classes and map them to the MIO canonical data model.
• Integrate data from providers such as Bloomberg and Refinitiv, normalizing and standardizing datasets for firmwide use.
• Partner with Portfolio Managers and Analysts to deliver reliable, bespoke data solutions for research and trading.
• Contribute to the design and evolution of scalable data architectures using modern frameworks and cloud services.
• Manage and optimize data infrastructure, including Aurora SQL and NoSQL databases such as Redshift, and support the evolution of scalable storage solutions.
• Monitor platform health, manage alerts, and resolve production issues within defined SLAs.
• Implement data quality checks and controls to ensure dataset accuracy, consistency, and reliability.
• Review data usage, infrastructure, and vendor spend; identify opportunities to improve efficiency and align with budget.

Benefits

• Medical, dental, and vision coverage.
• Telemedicine services.
• Life, accident, and disability insurance.
• Parental leave and family planning benefits.
• Caregiving resources.
• A generous retirement program.
• Financial guidance.
• Paid time off.
• Certain roles may be eligible for bonuses, subject to MIO’s discretion and based on individual and/or organizational performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level