AI Cloud Data Engineer

UMBs Artificial Intelligence (AI) team is responsible for driving automation data-driven decision making and software modernization using AI centric tools. Currently we leverage machine learning natural language processing predictive analytics and generative AI to enhance customer experience and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.

As the AI Cloud Data Engineer you will be responsible designing building and optimizing cloud-based data pipelines and platforms that support enterprise AI / ML workloads. This role combines cloud engineering and data engineering expertise to deliver secure scalable and compliant data solutions in hybrid and multi-cloud environments. The AI Cloud Data Engineer works closely with architects data scientists and application teams to ensure data quality governance and performance for AI-driven initiatives across payments fraud detection compliance and customer experience. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Tech Center located in downtown Kansas City MO.

How youll spend your time :

• Design and develop cloud-native data pipelines to support AI / ML training validation and inference.
• Build and optimize data lakes warehouses and lakehouse environments (e.g. Delta Lake Apache Iceberg) in the cloud.
• Collaborate with AI Data Architect and AI Cloud Architect to ensure data platforms meet enterprise standards.
• Automate ETL / ELT workflows and orchestration using tools such as Airflow Glue and Dataflow.
• Ensure compliance with financial data security governance and regulatory requirements (GLBA GDPR OCC FFIEC).
• Integrate structured unstructured and streaming data sources from banking systems payment hubs and customer channels.
• Implement monitoring and observability solutions for cloud-based data pipelines.
• Optimize data workflows for performance scalability and cost efficiency in cloud environments.
• Support disaster recovery resiliency and data availability strategies for AI platforms.
• Troubleshoot data pipeline integration and cloud deployment issues.

Were excited to talk with you if :

Bonus Points If :

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.

Compensation Range :

$69230.00 - $149000.00

The posted compensation range on this listing represents UMBs standard for this role but the actual compensation may vary by geographic location experience level and other job-related addition this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information

UMB offers competitive and varied benefits to eligible associates such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical dental vision and other insurance coverage; health savings flexible spending and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more

Youre more than a means to an enda way to help us meet the bottom line. UMB isnt comprised of workers but of people who care about their work one another and their community. Expect more than the status quo. At UMB you can expect more heart. Youll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing no matter what. And expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.

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Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 69230 - 149000