Lead Engineer, Data

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $125.4k - $181.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Lead the design and implementation of advanced data pipelines and ingestion frameworks • Personally develop, test, and maintain SQL, Python, and ETL code • Guide technical execution of complex data initiatives across teams • Assess processes for retention, migration, redesign, or retirement • Support and troubleshoot SAS Viya and SQL-based production workflows • Trace job failures and data discrepancies to root cause, implement corrections, validate outputs, and improve monitoring and recovery • Translate complex business requirements into scalable data solutions • Clarify business definitions and reconcile outputs into consistent, reusable datasets • Optimize data platforms for performance, scalability, and reliability, including Snowflake query performance and compute cost • Enforce data governance, security, and quality standards • Mentor engineers and provide technical leadership • Lead code reviews and ensure engineering standards, version control, automated testing, and CI/CD practices • Collaborate with architects and stakeholders on enterprise-aligned solutions • Drive improvements in automation, efficiency, and platform capabilities • Contribute to Snowflake transformations, dimensional models, and shared analytics-ready data structures • Validate migrations through reconciliation, parallel runs, and rollback planning • Serve as an escalation point for complex data engineering challenges • Complete other duties as assigned

🎯 Requirements

• Bachelor’s degree in Computer Science or related field, or equivalent combination of training and experience • 6–8+ years of data engineering experience with enterprise scale platforms • Advanced proficiency in SQL, including query optimization and complex transformations • Strong hands-on Python skills • Strong experience with AWS and modern data platforms • Hands-on Snowflake engineering experience required • Deep understanding of data modeling, ETL/ELT processes, and data warehousing • Experience with dimensional modeling and reusable business-facing datasets • SAS/SAS Viya experience strongly preferred; willingness and ability to learn and support SAS-based workflows • Demonstrated hands-on production support and experience making safe changes to unfamiliar or complex existing code • Experience leading technical initiatives and mentoring engineers • Strong problem-solving and communication skills • Experience working in Agile environments • PySpark experience preferred • Experience preparing governed data for advanced analytics or machine learning is a plus • Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT

🏖️ Benefits

• Medical, dental, vision and life insurance • 401(k) plan with generous company matching contributions (up to 6%) • Financial advisory services • Potential company discretionary contribution • Broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment with the option to wear jeans • Generous paid time off upon hire • Ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Paid parental leave • Paid short- and long-term disability • Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) • Flexible work environment • Other necessary computer equipment provided • Remote/hybrid home-work support with reliable high-speed internet requirements

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