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.
Senior Data EngineerThe Senior Data Engineer designs, develops, and maintains scalable data infrastructure and data ingestion frameworks that support data-driven reporting across Empower and for external partners. This role collaborates with cross-functional teams, business stakeholders, architects, analysts, and testers to translate data requirements into reliable technical solutions on Amazon Web Services (AWS).
The role requires strong experience with Python, SQL, ETL development, AWS cloud technologies, and big data solutions, along with the ability to provide technical guidance to junior engineers.
What You Will Do- Design, develop, and maintain scalable data and file ingestion frameworks.
- Collaborate with cross-functional value stream teams, analysts, architects, testers, and business stakeholders to understand and refine data requirements and translate them into technical solutions.
- Optimize data ingestion frameworks for performance, scalability, and reliability.
- Implement data governance and data security best practices.
- Troubleshoot data integrity, application, and performance issues.
- Participate in code reviews and promote adherence to coding standards and engineering best practices.
- Mentor junior engineers and provide technical guidance on complex projects.
- Contribute to architecture decisions and technical design discussions.
- Advise on strategic initiatives that mitigate core data application issues and identify opportunities for process automation.
- Evaluate emerging data engineering technologies and apply appropriate solutions to improve data frameworks and engineering practices.
- Collaborate with engineering colleagues to develop and maintain data engineering best practices.
- Complete other duties as assigned.
- Bachelor's degree in Computer Science, Information Systems, Mathematics, Software Engineering, or a related field, or an equivalent combination of training and experience.
- 4–6 years of data engineering experience, including experience designing and implementing scalable data ingestion frameworks.
- Proficiency in ETL development and design using Python and PySpark.
- Experience with big data technologies, including Apache Hadoop and Apache Spark.
- Strong SQL skills and experience with relational database management systems (RDBMS), such as PostgreSQL, Amazon Redshift, or MySQL.
- Hands-on experience with Amazon Web Services (AWS), including technologies such as Amazon DynamoDB, Amazon EMR Serverless, and AWS Lambda.
- Deep understanding of data modeling, ETL processes, data ingestion, and data warehousing concepts.
- Experience working with Agile methodologies and Scrum processes.
- Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Strong problem-solving and troubleshooting skills, with the ability to work independently and provide technical leadership to junior engineers.
- Ability to communicate professionally with customers and colleagues and effectively explain highly technical functionality to users.
- 3+ years of experience in financial services or another highly regulated industry.
- Experience using Jira in an Agile software development environment.
- Knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD).
- Experience with Amazon QuickSight.
- Demonstrated customer focus, including listening skills, empathy, proactive problem-solving, perseverance, and the ability to balance customer needs with organizational priorities.
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Mathematics, Software Engineering, a related field, or equivalent training and experience
- 4-6 years of data engineering experience, including designing and implementing scalable data ingestion frameworks
- Proficiency in ETL development and design using Python and PySpark
- Experience with Apache Hadoop and Apache Spark
- Strong SQL skills and experience with relational database management systems such as PostgreSQL, Amazon Redshift, or MySQL
- Hands-on experience with Amazon Web Services, including Amazon DynamoDB, Amazon EMR Serverless, and AWS Lambda
- Understanding of data modeling, ETL processes, data ingestion, and data warehousing concepts
- Experience working with Agile methodologies and Scrum processes
- Strong written and verbal communication skills, including explaining complex technical concepts to non-technical stakeholders
- Strong problem-solving and troubleshooting skills, ability to work independently, and technical leadership for junior engineers
- Ability to communicate professionally with customers and colleagues and explain highly technical functionality to users
- 3+ years of experience in financial services or another highly regulated industry
- Experience using Jira in an Agile software development environment
- Knowledge of DevOps practices and continuous integration/continuous delivery
- Experience with Amazon QuickSight
- Demonstrated customer focus, including listening skills, empathy, proactive problem-solving, perseverance, and balancing customer needs with organizational priorities
Empower (empower) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Empower (empower) and has not been reviewed or approved by Empower (empower).
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Retirement Support — A 401(k) match up to 6% plus potential discretionary contributions and no‑cost financial planning signal strong retirement support. This focus on retirement consistently elevates the value of the total rewards package.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage with mental‑health resources, wellness incentives, and HSA contributions indicates a robust health offering. Multiple plan options and supportive services (such as virtual care and second opinions) expand access and utility.
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Leave & Time Off Breadth — PTO programs (including Responsible Time for exempt roles), paid holidays, floating days, and paid volunteer hours offer strong time‑off coverage. These features contribute materially to overall compensation value.
Empower (empower) Insights
What We Do
Built on a foundation of trust, integrity and promise, we proudly serve over 71,000 outstanding organizations and more than 17 million individuals. ¹ We take great pride in helping people with saving, investing and advice, while providing them with the tools and resources they need to help reach their financial goals. We’re continuing to grow — and innovate — every day. Our mission is to empower financial freedom for all. That mission starts by delivering advice, personalized guidance and critical support. We strive to meet the unique needs of everyone we serve and embrace the opportunity to inspire them along their journey. Disclosures: https://www.empower.com/social-media
