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.
As aLead Data Engineer, you will play a critical role across the full data lifecycle—from business requirements gathering and data modeling to solution architecture, development, deployment, and production support. This is a hands-on technical leadership role requiring deepexpertisein building scalable, cloud-native data platforms usingSnowflake, Amazon Redshift, AWS, and modern data engineering tools.
You will lead the design and implementation of high-performance data pipelines, real-time streaming architectures, and analytics-ready data models while driving innovation throughGenAI-enabled data solutions, observability platforms, and modern transformation frameworks such asdbt. The ideal candidate is passionate about solving complex data challenges, mentoring engineering teams, and enabling enterprise-scale analytics and AI initiatives.
Design, develop, and implement scalable batch and real-time data pipelines usingSnowflake,Amazon Redshift, and AWS-native technologies
Lead end-to-end data engineering initiatives including data ingestion, transformation (ETL/ELT), data quality, and data delivery across enterprise platforms
Build andoptimizecloud-native data solutionsleveragingAWS services such asS3, Lambda, Glue, ECS, EMR, IAM, CloudWatch, and related services
Collaborate with data architects, analysts, product owners, and business stakeholders to gather requirements and translate them into technical solutions
Drive best practices in data modeling, governance, metadata management, lineage, and performance optimization
Experience working with AWS cloud services includingS3, Lambda, Glue, IAM, ECS, CloudFormation, and related technologies
Knowledge of CI/CD implementation using tools such as GitHub Actions, Jenkins, Terraform, or similar platforms
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.
