Senior Engineer Data Streaming

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 Senior Engineer Data Streaming will design, build, and support real-time and near-real-time data streaming solutions, with a focus on hands-on delivery of scalable and reliable streaming pipelines. This role applies deep technical expertise in streaming and data integration to solve complex problems, improve platform reliability, and support production operations while partnering closely with architects, lead engineers, and cross-functional stakeholders. What you will do Design, develop, and maintain end-to-end data streaming and CDC pipelines using Kafka and Striim. Implement real-time data integration from source systems through streaming platforms to analytical and operational targets. Collaborate with architects, lead engineers, and business partners to translate requirements into technical solutions. Apply team best practices for Kafka topic design, partitioning, schema management, and Striim pipeline configuration. Build reliable, scalable, fault-tolerant streaming solutions with attention to data consistency and replayability. Perform code and configuration reviews and contribute to standards for testing, documentation, and deployment. Troubleshoot and resolve complex production issues related to streaming pipelines, including latency and data correctness. Participate in proof-of-concepts and evaluation of new streaming or data integration technologies. Continuously improve observability, monitoring, and alerting for streaming pipelines. What you will bring Bachelor’s degree in Computer Science or equivalent experience. 5+ years of professional software or data engineering experience. Strong hands-on experience with Kafka and Striim. Experience with Oracle, PostgreSQL, Amazon Redshift, Apache, Pyspark, AWS, Glue, Python, Java and Snowflake. Solid understanding of distributed systems, event-driven architectures, and CDC patterns. Strong problem-solving, debugging, and analytical skills. Effective communication skills and ability to collaborate across technical teams. Experience working in Agile delivery environments. What will set you apart Experience with Schema Registry and Avro/Protobuf/JSON schemas. Exposure to cloud-native streaming services and containerized deployments. Familiarity with data quality, governance, and security considerations for streaming data. Prior experience supporting production systems with on-call or operational responsibilities. 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.