Senior Data Engineer

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Date: Nov 23, 2022

Location: New York, NY, US

Company: New York Life Insurance Co

Location Designation: Hybrid 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

The Insurance Solutions, Service and Marketing (ISSM) Data and Analytics Team (DnA) is seeking to hire a Senior Data Engineer.

 

Responsibilities:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
  • Keep our data secure & protected

 

 

Qualifications:

  • 5+ years of experience in a Data Engineer role
  • Bachelor’s in Computer Science, Masters a plus
  • Advanced working SQL knowledge and experience working with relational databases.
  • Experience working with visualization tool like Tableau.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Proficient knowledge TOAD, and SQL workbench
  • Knowledge of the ETL (extract, transform and load) process.
  • AWS and Python, a plus
  • Experience working with data from Data warehouses, Data marts and Data Lakes.
  • Experience with data visualization / distribution and manipulating large data sets leveraging tools such as Hadoop and Data Wrangling tools
  • Knowledge of industry standard Business Intelligence (BI) solution tools, such as: Oracle, Business Objects, Tableau, preferred
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong project management and organizational skills, preferred
  • Experience supporting and working with cross-functional teams in a dynamic environment.

 

 

 

Salary range: $105,000-$160,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

 

Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

 

 

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.

Job Requisition ID: 87980

 

 

 


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