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 This role supports Empower s data and AI strategy with a focus on building Responsible AI capabilities The Data Engineer will design and implement scalable ethical and secure data pipelines and infrastructure that underpin AI ML systems ensuring high-quality data flows into model development testing monitoring and governance workflows The candidate will work across cloud AWS and on-premises environments contributing to the lifecycle of data used for Responsible AI tooling including bias detection model transparency and compliance tracking ESSENTIAL FUNCTIONS Design build and maintain data pipelines that support model development testing and monitoring with a focus on AI governance and traceability Collaborate with cross-functional teams including Data Scientists ML Engineers and Risk to understand data needs for AI use cases Integrate data quality lineage and metadata tracking into ETL pipelines to support Responsible AI workflows Support ingestion and transformation of structured and unstructured data including NLP datasets for AI model training and evaluation Design with compliance in mind integrate secure handling of PII and support auditability in data flows Participate in technical design discussions focused on enabling transparency fairness and explainability in data workflows Troubleshoot and resolve performance and data quality issues in distributed AI pipelines Contribute to reusable libraries or templates to support standardized data practices across AI projects QUALIFICATIONS Bachelor s Degree in Computer Science Information Systems or related field 2-6 years of experience in data engineering preferably in AI ML environments Strong Python and SQL skills with experience in data pipeline orchestration e g Airflow Step Functions Experience with Big Data frameworks e g Spark Hadoop and streaming data platforms e g Kafka Experience working in AWS environments with services like S3 Glue Redshift SageMaker and Lake Formation Familiarity with machine learning workflows and data requirements e g training test splits data versioning feature stores Experience integrating data validation data lineage or metadata tools e g Great Expectations Apache Atlas Amundsen Understanding of Responsible AI principles and experience supporting data aspects of fairness bias explainability or model monitoring is a strong plus Experience with JIRA and Agile methodologies Experience in financial services or other highly regulated environments preferred This job description is not intended to be an exhaustive list of all duties responsibilities and qualifications of the job The employer has the right to revise this job description at any time You will be evaluated in part based on your performance of the responsibilities and or tasks listed in this job description You may be required perform other duties that are not included on this job description The job description is not a contract for employment and either you or the employer may terminate employment at any time for any reason 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