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Lead Engineers

Remote / Online - Candidates ideally in
Wellesley, Norfolk County, Massachusetts, 02482, USA
Listing for: Sun Life Financial
Remote/Work from Home position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 160000 USD Yearly USD 150000.00 160000.00 YEAR
Job Description & How to Apply Below

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

At Sun Life, we're driven by our

Purpose:

helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.

Job Description

This Notice is being provided as a result of the filing of an application for permanent Alien Labor Certification for the relevant job opportunity and any person may provide documentary evidence bearing on the application to the Certifying Officer for the Department of Labor,U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Lead Engineers – Data Support (Sun Life Financial [U.S.] Services Company, Inc., Wellesley Hills, MA):
Will cover ETL (extract, transform and load) support and data lake support, act as a subject-matter expert on Oracle and SQL data warehouse support, serve as an escalation point for Data Lake technical support, and lead technical upgrades and infrastructure changes required on these platforms. 100% Telecommuting permitted from anywhere in the U.S.

Duties include:
  • Monitor data lake processes and other ETL
  • Troubleshoot urgent failures in production environment and apply performance testing coding best practices as well as facilitate load and performance testing
  • Resolve technical issues and restart production processes in a timely fashion
  • Analyze data discrepancies in production processes, find root cause, make code changes where necessary, test, implement solution, etc.
  • Create net new ETL or report processes for smaller scale items where necessary
  • Deal directly with internal business partners to identify root cause of reported technical problems
  • Provide detailed updates on technical project assignments to managers and apply testing skills, tools/frameworks, techniques, processes and principles to software solutions to support of defect management and reporting processes
  • Work closely with cross-functional teams to ensure reported data issues are being investigated and resolved in a timely manner
  • Collaborate with and mentor members of the team to ensure knowledge is shared throughout the team applying data science, engineering, system administration, and software development (programming) foundation
  • Perform daily duties utilizing applicable technologies tools including but not limited to:
    Business Intelligence and reporting tools including Business Objects, Crystal, or LOGIXML;
    Microsoft BI/Microsoft stack; ETL tools such as Informatica Power Center, Hadoop, or Qlik;
    Job scheduling tools (Autosys, Control M); AWS Cloud (EC2, EMR, S3, Kinesis, Dynamo);
    Application Programming Interface (API);
    Gateway; and LAMDA.
Minimum Requirements

bachelor’s degree (foreign equivalent degrees accepted) in computer/data science, computer/electronics engineering, or a closely related technical field of study, and five years of progressive experience in data engineering, data engineering support, or a related occupation, including:…

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