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MIO Partners

At-cost asset management for retirement plans

Data Engineer - Market Data

Data EngineeringPosted on Nov 9
Full-timeNew York, NY, USA

About the Job

Requirements

  • A bachelor's or master's degree in computer science, engineering, or a related quantitative field is required.
  • At least five years of experience working with financial datasets is required, preferably in buy-side hedge fund or capital markets environments, including experience with data providers such as Bloomberg, ICE, or LSEG.
  • Strong programming skills in Python and SQL are required.
  • Hands-on experience with AWS, including S3, Aurora, Athena, Redshift, and Lambda, is required.
  • Experience with CI/CD practices and AWS-native tooling is required.
  • Familiarity with data governance, lineage, and data quality frameworks is required.
  • A 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, foreign exchange, and digital assets, is required.
  • Applicants must be authorized to work in the United States without employer-sponsored work authorization, now or in the future.

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, and normalize and standardize 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 service-level agreements.
  • Implement data quality checks and controls to ensure accuracy, consistency, and reliability across datasets.
  • Review data usage, infrastructure, and vendor spend; identify opportunities to improve efficiency and align with budget.

Desired Qualifications

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

About the Company

MIO Partners

At-cost asset management for retirement plans

MIO Partners manages retirement and after-tax investments for McKinsey employees and alumni by overseeing funds offered in the McKinsey retirement plan and related alternative investments. Investors pick from funds within these accounts, and MIO administers them on an at-cost basis to save time and simplify access. Unlike typical asset managers, MIO does not take profits for itself or McKinsey, keeping incentives aligned through significant management participation in the funds and a focus on the McKinsey community. Its goal is to provide convenient, professional investment management with low costs that align with investors’ interests.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
1992

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