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Top Hybrid Data Engineering Jobs in St. Louis, MO
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.
Top Skills:
AWSDatastageDb2ETLJavaManaged ServicesOracle BiPythonQlikviewRedshiftSlasSQL ServerWorkload Orchestration And Scheduling
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Design and own canonical data models and migration architecture for ERP, PDM, and MOM systems. Lead mapping, CDC, APIs, CI/CD pipelines, reconciliation/lineage, security controls, performance tuning for large binaries, and produce documentation to ensure repeatable, auditable enterprise data migrations.
Top Skills:
AclCi/CdErpMomMySQLOraclePdmPythonSql DeveloperWindchillXML
Insurance
As an Analytics Engineer II, you will build and scale data models, develop data pipelines, and enhance CI/CD processes for advanced analytics and AI initiatives, while collaborating with stakeholders and mentoring junior team members.
Top Skills:
AWSAzureDbtGCPPythonSnowflakeSparkSQL
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Top hybrid Companies in St. Louis, MO Hiring Data & Analytics Roles
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