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Empower

Lead Engineer, Data

Empower

Lead Data Engineer implementing ELT/ETL pipelines for Empower-Retirement with a focus on AWS ecosystems and Python scripting. Collaborate with teams to improve data structure and quality.

Posted 6/4/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
ETLNumpyPandasPostgresPython

About the role

Key responsibilities & impact
  • Build, maintain, and implement ELT/ETL pipelines and database structures
  • Collaborate with other developers on the team
  • Work with internal technology teams to understand and aid in the implementation of database and data transformation requirements
  • Design and build data structures throughout all stages of the data lifecycle (raw, refined, analytics/report ready)
  • Maintain and optimize existing data structures throughout all stages of the data lifecycle (raw, refined, analytics/report ready)
  • Build ELT/ETL Python scripts to source data from various systems
  • Validate data and transformations throughout the entire data lifecycle
  • Analyze data discrepancies to determine root cause and identify correct course of action
  • Integrate up-and-coming data management and software engineering technologies into existing data structures
  • Document data lineage, data transformations, business logic, calculations, data dictionary
  • Provide guidance on automated data QA checks throughout data lifecycle
  • Ensure that all systems meet the business/company requirements as well as industry practices
  • Collaborate with members of your team on project deliverables goals
  • Install/update disaster recovery procedures
  • Recommend different ways to constantly improve data reliability and quality
  • Train and mentor others on the team on best practices, techniques, and languages

Requirements

What you’ll need
  • 6+ years of Python programming experience using python packages such as numpy, pandas etc
  • Strong experience using Python on event-drive programming
  • Familiar with using python lists, classes, dictionaries to build module/functions etc
  • Experience analyzing, mapping, and connecting with various source system data
  • Solid experience with building and maintaining ETL/ELT pipelines using Python
  • Strong experience with Postgres and PSQL writing data transformation and data structures
  • Excellent communication skills with the ability to collaborate with non-technical partners
  • Experience working in an Agile environment working on a Scrum team
  • Strong understanding of concepts or experience with ETL and ELT, Data pipelines, Data Warehousing and Data Marts, Kimball Vs. Inmon architecture patterns, TDD, Source control, CI/CD, DevOps

Benefits

Comp & perks
  • flexible work environment
  • fluid career paths
  • purpose, well-being, and work-life balance
  • welcoming and inclusive environment
  • volunteering opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonETLELTdata transformationPostgresPSQLdata pipelinesdata warehousingTDDCI/CD
Soft Skills
communicationcollaborationmentoringguidanceproblem-solvinganalytical thinkingteamworkleadershipadaptabilitytraining