
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.
🕒 August 5
🇺🇸 United States – Remote
💵 $138k - $200.1k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🚰 Data Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 45%
Where this job comes from
Posted on Empower's careers page, not through a job board
First seen by Remote Rocketship August 5

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.
• Analyze large and complex data sets to identify trends, patterns, and insights • Design and implement end-to-end data architectures for ingestion, storage, processing, and consumption • Develop and maintain logical and physical data models, data flows, and architecture documentation • Create and optimize data models for dashboards, reporting, and data visualization tools • Apply data lakes, data warehouses, lakehouses, batch processing, event-driven processing, and change data capture patterns • Design cloud-native and cloud-compatible solutions, including modernization and migration strategies • Ensure data solutions meet governance, security, privacy, and compliance standards • Design for scalability, reliability, and performance using partitioning and schema optimization • Collaborate with engineering, infrastructure, security, and business teams • Participate in architecture and design reviews and identify risks, trade-offs, and optimization opportunities • Support DevOps and DataOps practices, including CI/CD pipelines and infrastructure-as-code • Provide technical guidance and mentorship on data architecture and modeling best practices • Translate business requirements into data quality standards and actionable data solutions • Refine models, methodologies, and architectures based on feedback and evolving business needs
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent experience • 7–10 years of experience in data engineering, data architecture, analytics engineering, or related technical roles • Minimum of 5+ years in a data-centric role • Strong experience in logical and physical data modeling • Experience with ER/Studio, ERwin, or PowerDesigner • Advanced SQL skills • Experience with Oracle, SQL Server, PostgreSQL, DB2, or Redshift • Experience with AWS, Azure, or GCP • Experience with EMR or Spark • Strong understanding of data lakes, data warehouses, lakehouses, and streaming platforms • Hands-on experience with distributed data processing, data integration, and NoSQL technologies • Experience with graph, key-value, and columnar technologies • Experience with Tableau, Cognos, BusinessObjects, MicroStrategy, SAS, or SPSS • Proficiency in Python, R, or SQL • Understanding of data governance, data quality, data privacy, and security practices • Experience with DevOps and DataOps, CI/CD pipelines, and infrastructure-as-code • Strong analytical, critical thinking, and problem-solving skills • Excellent written and verbal communication skills • Ability to engage technical and non-technical stakeholders • Ability to work independently and collaboratively within cross-functional teams • Must be authorized to work for any employer in the U.S. • Must have reliable high-speed wired internet and an adequate home work environment for remote work
• Medical, dental, vision and life insurance • 401(k) plan with company matching contributions up to 6% • Financial advisory services • Potential company discretionary retirement contribution • Broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment with option to wear jeans • Paid time off program • Ten paid company holidays • 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) • Bonus program opportunity for non-sales positions • Necessary computer equipment provided • Flexible work environment • Reliable high-speed internet and home workspace required for remote work
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