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. The Senior Data Engineer plays a crucial role in designing, building and maintaining Empower's data infrastructure and data ingestion framework. You will closely collaborate with cross-functional value stream teams, business teams, architects and testers to design and implement scalable data solutions on AWS cloud that empowers data-driven reporting across the organization as well as external vendors. Strong knowledge in Python, ETL methodologies, SQL and Big Data solutions is critical for success. ESSENTIAL FUNCTIONS: Design, develop and maintain scalable data and file ingestion framework. Collaborate with cross-functional value stream teams, analysts and business stakeholders to understand and refine the data requirements and translate them into technical solutions. Optimize data ingestion framework for performance and reliability. Implement data governance and security best practices. Troubleshoot data integrity and performance issues. Participate in code reviews and enforce coding standards. Mentor more junior engineers and provide technical guidance on complex projects. Contribute to architectural decisions and design discussions. Advises and works on strategic initiatives to mitigate and/or alleviate core data application issues, including opportunities for process automation. Stay updated with the latest trends and technologies in data engineering and apply them to improve our data framework. Collaborate with colleagues regarding development of best practices and data application issues. Complete other duties as assigned. QUALIFICATIONS: Bachelor's degree in computer science or related field (Information Systems, Mathematics, Software Engineering) or equivalent combination of training and experience 5+ years of data engineering experience with a proven track record of designing and implementing scalable ingestion framework. Proficiency in ETL development and design using Python, PySpark, Big Data (Hadoop/SPARK) Strong SQL knowledge, RDBMS experience on any recognized database (Postgres, Redshift, MySQL, etc. Hands on experience on the AWS platform using, DynamoDB, EMR serverless, Lambdas, etc. 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 in working with Agile Methodology and scrum processes. Excellent problem-solving skills and ability to work independently as well as lead more junior engineers. 3+ years IT in financial or other highly regulated industry desired Use of JIRA in Agile development preferred Knowledgeable about DevOps and CI/CD best practices is a plus Experience with new technologies like QuickSight, Co-Pilot, etc. desired. 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.