Zions Bancorporation · 18 hours ago
AI Platform Data Engineer
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming the financial institution's workforce through technology and innovation. The AI Platform Data Engineer will design, build, and maintain data pipelines and integrations for a GCP-based AI platform, ensuring data accessibility and reliability for advanced analytics and machine learning workloads.
AgricultureBankingFinanceFinancial Services
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
Data governance and security: Ensured data governance and compliance with industry standards and regulations through robust security practices and techniques
Participate in evaluating new data engineering technologies and best practices for GCP
Contribute production-ready code for data services and integrations (primarily Python and SQL)
Support MLOps workflows and job scheduling for machine learning and AI applications
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
Qualification
Required
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
Demonstrated expertise in distributed systems and advanced programming: 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
Excellent communication and collaboration skills, with experience working alongside AI engineers and data scientists
Benefits
Medical, Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products
Company
Zions Bancorporation
Zions Bancorporation is a financial services company involved in SBA lending, public finance advisory services, and agricultural finance.
H1B Sponsorship
Zions Bancorporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (68)
2024 (39)
2023 (61)
2022 (68)
2021 (45)
2020 (36)
Funding
Current Stage
Public CompanyTotal Funding
$1.09B2025-08-11Post Ipo Debt· $500M
2024-11-14Post Ipo Debt· $500M
2013-09-13Post Ipo Debt· $87.9M
Recent News
MarketScreener
2025-12-24
2025-12-23
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