ETL Data Engineer

Overview

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.

The ETL Data Engineer is responsible for designing, developing, and maintaining backend data pipelines and ETL solutions. This role focuses on building scalable and reliable data processing using Python, SQL, and AWS, supporting analytics, reporting, and downstream applications. The engineer contributes across the development lifecycle, from requirements and design through implementation, testing, deployment, and ongoing support.

What You Will Do

• Design, build, and maintain ETL pipelines and backend data workflows using Python and SQL.
• Develop and optimize data processing solutions on AWS using services such as Glue, EMR, Lambda, and S3 under guidance from senior engineers and architects.
• Implement and support CI/CD pipelines to automate build, test, and deployment processes.
• Collaborate with data engineers, architects, product owners, and business partners to understand requirements and translate them into clear technical tasks.
• Write clean, maintainable, and well-tested code that aligns with team standards and architectural guidelines.
• Troubleshoot and resolve data, performance, and reliability issues in lower and production environments with support from senior team members as needed.
• Participate in code reviews to provide and receive feedback and help uphold coding and quality standards.
• Contribute to design and technical discussions by sharing ideas and raising risks or improvement opportunities.
• Continuously learn and adopt tools, technologies, and development practices relevant to data engineering and cloud platforms.
  
  

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
• 3+ years of experience in software development, with a focus on backend or data engineering.
• Proficiency in Python for backend development and data processing tasks.
• Strong SQL skills, including working with large datasets and query optimization.
• Hands-on experience with AWS services, ideally including Glue, EMR, Lambda, and S3, and Kafka topics
• Experience working with CI/CD pipelines and tools that support automated build, test, and deployment.
• Solid understanding of software development methodologies and best practices, including version control and automated testing.
• Strong problem-solving, debugging, and troubleshooting skills.
  
  

• Experience with Java or JavaScript is a plus but not required.
  
  

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.