Senior Data Engineer

🕒 2 days ago

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Empower

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

• Design, develop, and maintain scalable data and file ingestion frameworks. • Collaborate with cross-functional value stream teams, analysts, and business stakeholders to understand and refine data requirements and translate them into technical solutions. • Optimize data ingestion frameworks for performance and reliability. • Implement data governance and security best practices. • Troubleshoot data integrity and performance issues. • Participate in code reviews and enforce coding standards. • Mentor more junior engineers and provide technical guidance on complex projects. • Contribute to architectural decisions and design discussions. • Advise on and work on strategic initiatives to mitigate and alleviate core data application issues, including opportunities for process automation. • Stay updated with the latest trends and technologies in data engineering and apply them to improve the data framework. • Collaborate with colleagues on best practices and data application issues. • Complete other duties as assigned.

🎯 Requirements

• Bachelor’s degree in Computer Science or a related field, such as Information Systems, Mathematics, or Software Engineering, or an equivalent combination of training and experience. • 4-6 years of data engineering experience with a proven track record of designing and implementing scalable ingestion frameworks. • Proficiency in ETL development and design using Python, PySpark, and big data technologies such as Hadoop or Spark. • Strong SQL knowledge and RDBMS experience with a recognized database such as Postgres, Redshift, or MySQL. • Hands-on experience with the AWS platform using DynamoDB, EMR Serverless, Lambdas, or related services. • Deep understanding of data modeling, ETL processes, and data warehousing concepts. • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. • Experience working with Agile methodology and scrum processes. • Excellent problem-solving skills and the ability to work independently and lead more junior engineers.

🏖️ Benefits

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

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