Lead Engineer, Data

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• 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

• 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

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