Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is looking to transform what it means to work for a financial institution by leveraging technology and innovation to provide the best experience possible for their community, clients, and colleagues. The AI Platform Data Engineer will be instrumental in this transformation by designing, building, and maintaining data pipelines, integrations, and models that power the company's GCP-based AI platform, ensuring data accessibility, reliability, and security for advanced analytics and machine learning workloads.
Requirements
- Developed production-grade solutions in Python and/or PySpark, leveraging performance optimization techniques such as partitioning, caching, parallelism, and efficient data formats.
- Optimized cloud infrastructure for cost and performance: Led cost-efficient Spark workload strategies by right-sizing clusters (e.g., on-demand drivers, spot/preemptible workers), enabling autoscaling and auto-termination, and utilizing job compute, serverless clusters, cluster pools, tagging, and budget controls.
- Familiarity with orchestration frameworks (e.g., Airflow, Databricks Workflows, Control-M) for scheduling and managing data workflows.
- Extensive expertise in managing both cloud and on-premises environments, with strong focus on seamless data and file movement between cloud and on-premises systems to ensure efficient and secure data integration.
- Knowledge of data quality, validation, and monitoring best practices.
- Experience with GCP Vertex AI or other agent building platforms/services.
- Understanding of data security, privacy, and compliance in a cloud environment.
Responsibilities
- Develop, maintain, and optimize data pipelines and ETL/ELT processes using GCP services
- Integrate diverse internal and external data sources to support AI and analytics use cases.
- Implement data quality, validation, and monitoring processes to ensure accuracy and reliability.
- Collaborate with AI engineers, data scientists, and platform users to enable seamless access to training, inference, and production datasets.
- Support metadata management, data cataloging, and documentation for platform users.
- Contribute production-ready code for data services and integrations (primarily Python and SQL).
- Design and implement scalable data models across diverse storage paradigms (e.g., data lakes, lakehouses, and data warehouses), enabling efficient data processing, analytics, and machine learning workflows.
Other
- 4 years of experience in data engineering, with hands-on work designing and maintaining data pipelines and integrations on cloud platforms.
- Bachelors degree in Computer Science, Computer Engineering or related field. A combination of education and experience may meet qualifications.
- Excellent communication and collaboration skills, with experience working alongside AI engineers and data scientists.
- This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.
- Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
