Senior Engineer, Data

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🔥 3 hours ago

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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

• Design, develop and maintain scalable data and file ingestion framework. • Collaborate with cross-functional value stream teams, analysts and business stakeholders to understand and refine the data requirements and translate them into technical solutions. • Optimize data ingestion framework 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 and work on strategic initiatives to mitigate and/or 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 our data framework. • Collaborate with colleagues regarding development of best practices and data application issues. • Complete other duties as assigned.

🎯 Requirements

• Bachelor's degree in computer science or related field (Information Systems, Mathematics, Software Engineering) or equivalent combination of training and experience • 5+ years of data engineering experience with a proven track record of designing and implementing scalable ingestion framework. • Proficiency in ETL development and design using Python, PySpark, Big Data (Hadoop/SPARK) • Strong SQL knowledge, RDBMS experience on any recognized database (Postgres, Redshift, MySQL, etc.) • Hands on experience on the AWS platform using, DynamoDB, EMR serverless, Lambdas, etc. • 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 in working with Agile Methodology and scrum processes. • Excellent problem-solving skills and ability to work independently as well as lead more junior engineers. • 3+ years IT in financial or other highly regulated industry desired • Use of JIRA in Agile development preferred • Knowledgeable about DevOps and CI/CD best practices is a plus • Experience with new technologies like QuickSight, Co-Pilot, etc. desired.

🏖️ Benefits

• flexible work environment • fluid career paths • celebrate internal mobility • purpose and well-being focus • work-life balance • inclusive environment • volunteering opportunities