Senior Data Engineer

Job not on LinkedIn

🕒 August 27

🇺🇸 United States – Remote

💵 $105.7k - $149.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 26%

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Logo of Empower

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, maintain, and optimize scalable data and file ingestion frameworks • Collaborate with cross-functional value stream teams, analysts, business stakeholders, architects, testers, and colleagues to refine data requirements and develop technical solutions • Implement data governance and security best practices • Troubleshoot data integrity, data application, and performance issues • Participate in code reviews and enforce coding standards • Mentor junior engineers and provide technical guidance on complex projects • Contribute to architectural decisions and design discussions • Support strategic initiatives addressing core data application issues and process automation • Stay current with data engineering trends and technologies and improve the data framework • Complete other duties as assigned

🎯 Requirements

• Bachelor's degree in computer science or a related field, including Information Systems, Mathematics, or Software Engineering, or an equivalent combination of training and experience • 4 to 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, including Hadoop and Spark • Strong SQL knowledge and RDBMS experience with Postgres, Redshift, or MySQL • Hands-on experience with AWS using DynamoDB, EMR Serverless, Lambdas, and related technologies • Deep understanding of data modeling, ETL processes, and data warehousing concepts • Experience working with Agile methodology and Scrum processes • Excellent written and verbal communication skills • Excellent problem-solving skills and ability to work independently and lead more junior engineers • Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT • 3+ years of IT experience in the financial industry or another highly regulated industry • Experience using JIRA in Agile development • Knowledge of DevOps and CI/CD best practices • Experience with QuickSight and Co-Pilot • Reliable high-speed internet with a wired connection and an adequate home work environment

🏖️ 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) open to all • Reliable high-speed internet with a wired connection and a home workspace; necessary computer equipment provided

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