ChatGPT Jobs · 11 hours ago
AI Cloud Data Engineer
Kansas City, MO
Full-time
Hybrid
Mid Level
$69K/yr - $149K/yr
3+ years expChatGPT Jobs is seeking an AI Cloud Data Engineer to join UMB's Artificial Intelligence team. In this role, you will design, build, and optimize cloud-based data pipelines and platforms that support enterprise AI/ML workloads.
Computer Software
No H1B
Responsibilities
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
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Cloud Computing, or related field and at least 3 years of experience in cloud data engineering or enterprise data integration, OR equivalent combination of education and work experience
Proficiency with at least one major cloud platform (AWS, Azure, GCP)
Experience with SQL and programming languages such as Python, Scala, or Java
Familiarity with containerization and orchestration (Docker, Kubernetes)
Expertise in data pipeline frameworks (Apache Spark, Kafka, Flink, Dataflow)
Knowledge of cloud-native data services (AWS Redshift, Glue, Snowflake, BigQuery, Azure Synapse)
Familiarity with MLOps and integrating data workflows with AI model lifecycle
Strong understanding of data governance, lineage, and metadata management
Ability to design fault-tolerant, secure, and scalable data workflows in the cloud
Preferred
Master's degree in Data Science, Cloud Engineering, or related discipline and at least 5 years of experience in cloud data engineering within financial services or regulated industries
Certifications: AWS Certified Data Analytics Specialty, Google Professional Data Engineer, or Microsoft Azure Data Engineer Associate
Experience with regulatory reporting and AI-ready data pipelines
Background in high-volume financial data systems or real-time payments
Hands-on experience with Lakehouse technologies (Delta Lake, Apache Iceberg, Hudi)
Knowledge of distributed data architectures and data mesh patterns
Familiarity with AI observability tools and data drift monitoring
Experience with privacy-preserving technologies and secure data-sharing frameworks
Deep understanding of cloud cost optimization for data-intensive AI workloads
Company
ChatGPT Jobs
We find the best job offers for experts in ChatGPT and related technologies.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase