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Data Engineer – Corporate Technology Data Engineering & Analytics

MassMutual

Salary not specified
Nov 17, 2025
New York, NY, United States of America
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Driving the execution of our data and technology strategy, digital transformation, and operational efficiency across Investment Management by building data solutions including streaming and batch pipelines, data marts & data warehouse.

Requirements

  • 8+ years of experience with data analytics, data modeling, and database design.
  • 5+ years experience with ELT methodologies and tools.
  • 5+ years experience in designing, developing, tuning and troubleshooting SQL.
  • 3+ years of coding and scripting (Python, Java, Scala) and design experience.
  • 2+ years of experience with Spark framework.
  • Knowledge of Informatica Power center and Informatica IDMC.
  • Knowledge of distributed, column-orientated technology to create high-performant database technologies like - Vertica, Snowflake.

Responsibilities

  • Design, build, and measure complex ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset.
  • Executes and provides feedback for data modeling policies, procedure, processes, and standards.
  • Assists with capturing and documenting system flow and other pertinent technical information about data, database design, and systems.
  • Develop comprehensive data quality standards and implement effective tools to ensure data accuracy and reliability.
  • Collaborate with various Investment Management departments to gain a better understanding of new data patterns.
  • Collaborate with Data Analysts, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals.
  • Translate high-level business requirements into detailed technical specs.

Other

  • Bachelor’s degree in Computer Science, Engineering, Information Systems or related technical field.
  • Strong data analysis skills for extracting insights from financial data
  • Proficiency in reporting tools (e.g., Power BI, Tableau).
  • Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing.
  • Familiarity with regulatory requirements and compliance standards in the investment management industry.