Data Engineer

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • New York Life Insurance Company
  • 23 Mar 19

Data Engineer

New York Life Investments (NYLIM), an indirect, wholly owned subsidiary of New York Life Insurance Company, is a top 25 global asset management firm. With more than $500 billion in assets under management, NYLIM is a premier investment management firm serving a variety of client segments including retail, institutional, insurance and defined contribution and benefit on a global basis. New York Life Investments offers a diverse set of investment capabilities ranging from traditional equity and fixed income to alternative investment strategies and multi-asset solutions. Renowned for its premier investment acumen and client focus, NYLIM's vision is to be one of the most trusted providers of investment management expertise and long-term financial security.

New York Life Investments (NYLIM), an indirect, wholly owned subsidiary of New York Life Insurance Company, is a top 25 global asset management firm. With more than $500 billion in assets under management, NYLIM is a premier investment management firm serving a variety of client segments including retail, institutional, insurance and defined contribution and benefit on a global basis. New York Life Investments offers a diverse set of investment capabilities ranging from traditional equity and fixed income to alternative investment strategies and multi-asset solutions. Renowned for its premier investment acumen and client focus, NYLIM's vision is to be one of the most trusted providers of investment management expertise and long-term financial security.

We are looking for a Data Engineer with hands-on experience using Tableau to join New York Life Investment Management's Business Intelligence & Analytics (BI&A) team. The BI&A team is a stand-alone center of excellence supporting our Retail Investment Management business across Distribution, Marketing, Service and Senior Management. We partner with and support each area, leveraging data to drive business strategy, decision making and support of our distribution efforts.

This role requires an individual with a strong sense of ownership, technical and analytical expertise as well as the ability to effectively interact with both business and IT teams. The person in this role will be a data expert who will build and grow the platform that enables better data publishing and analytics for consumption.

Responsibilities include, but are not limited to:

  • Responsible for research, delivery, implementation and support of Data Lake technical solutions
  • Work on end-to-end (design, development, maintenance and evolution) implementation of Tableau dashboards
  • Uses in-depth knowledge on Hadoop architecture, advanced programming skills, and experience designing & optimizing queries to build scalable, modular, and efficient data pipelines
  • Designs data marts and data models to support Data Science and other internal customers.
  • Work with data scientists to transform data and integrate algorithms and models into production systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets and develop graphs, reports, visualization and presentations of results


Required Skills / Knowledge:
  • Bachelor's degree with 5+ years' experience in data engineering or programming; Financial industry experience a plus
  • Strong experience in Big Data processing using Python/PySpark, R, Hive, SQL, shell scripting, etc.
  • Ability to develop data pipelines, automated workflows, and analytical processing solutions in Big Data and Hadoop ecosystems; strong conceptual knowledge of distributed frameworks and Hadoop architecture components
  • Strong data visualization skills for "story-telling" through data
  • Experienced in Tableau best practices for dashboard development and data source management
  • Strong analytical, problem-solving and organizational skills. Attention to detail a must.
  • Strong communication skills
  • Ability to build relationships and work effectively with diverse stakeholders at all levels
  • Ability to work efficiently in a fast-paced environment
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