Sr Engineer Data

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and file ingestion frameworks. This role will collaborate with cross-functional value stream teams, business stakeholders, architects, analysts, and testers to translate data requirements into scalable solutions on AWS that support data-driven reporting across the organization and for external vendors. The Senior Data Engineer will also provide technical guidance to junior engineers, contribute to architectural decisions, and identify opportunities to improve and automate data processes.

• Design, develop, maintain, and optimize scalable data and file ingestion frameworks for performance and reliability.
• Collaborate with cross-functional value stream teams, analysts, business stakeholders, architects, and testers to understand and refine data requirements and translate them into technical solutions.
• Implement data governance and security best practices.
• Troubleshoot data integrity 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.
• Advise and work on strategic initiatives to mitigate or alleviate core data application issues, including opportunities for process automation.
• Stay current with trends and technologies in data engineering and apply them to improve the data framework.
• Collaborate with colleagues on the development of best practices and resolution of data application issues.
• Complete other duties as assigned.

• 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 a recognized database such as Postgres, Redshift, or MySQL.
• Hands‑on experience with the AWS platform using DynamoDB, EMR Serverless, Lambda, and related technologies.
• 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 as well as lead junior engineers.

• 3+ years of IT experience in the financial industry or another highly regulated industry.
• Experience using JIRA in Agile development.
• Knowledge of Dev Ops and CI/CD best practices.
• Experience with technologies such as Quick Sight and Copilot.
• Ability to communicate in a friendly and professional manner with customers and colleagues, remain calm in stressful situations, independently troubleshoot program errors regardless of technology, and write user-friendly explanations of highly technical functionality.
• Customer focus demonstrated through internal and external service excellence, listening skills, patience, empathy, authenticity, proactivity, and perseverance.
• Ability to deliver optimal solutions in a timely manner, balance customer needs with the best interests of the organization, and maintain a positive approach despite challenges, constraints, or customer emotions.
• Ability to build collaborative and cooperative partnerships, effectively manage conflict, find common ground, and build trust with coworkers, managers, partners, and customers.
• Demonstrates inclusiveness and appreciation for diverse backgrounds, cultures, thoughts, and experiences; operates with integrity and communicates respectfully; supports the success of others; and addresses conflict openly, respectfully, and through appropriate channels.

This job operates in a professional office environment. This job description is not intended to be an exhaustive list of all duties, responsibilities and…