This role combines Business Intelligence development with Navy ERP (SAP) functional expertise to design and sustain reporting solutions, dashboards, and automated data pipelines for Navy financial operations. The developer will use Databricks, Qlik, Tableau, SQL, Spark, and Python to build analytics tools and data models while applying deep functional knowledge of SAP modules (FM, FI, CO, PS, MM, WM, SD, WFM) and financial business rules.… Responsibilities include developing executive dashboards, creating automated data delivery workflows via AWS S3 and email, integrating data from multiple systems (Jupiter, Navy ERP, Oracle), and supporting user acceptance testing and stakeholder training. The role requires hands-on BI development, SAP functional analysis, application development using NetWeaver and ABAP, and collaboration across functional teams to ensure data quality and audit compliance.
databricks-workflows jobs in San Diego
Design, build, and operate enterprise-scale Databricks lakehouse platforms for a global semiconductor company. Lead AI-native development practices, machine learning enablement, and AIOps automation while mentoring engineering teams and establishing technical standards.… Drive platform modernization, cloud-native practices, and intelligent data/AI infrastructure at scale. Requires 4–5 years of hands-on Databricks experience, strong Python/SQL/Spark skills, MLOps expertise, and proven technical leadership.
Lead the design, build, and operation of enterprise-scale Databricks Lakehouse platforms at Qualcomm, driving AI-native development, MLOps practices, and cloud modernization. This hands-on Staff IT Engineer role requires 4–5 years of Databricks experience and 8–12 years total IT background, with responsibility for platform architecture (Delta Lake, Unity Catalog, Workflows), machine learning enablement (MLflow, Mosaic AI), AIOps automation, and technical mentoring of engineers.… You will establish engineering standards, optimize platform performance and cost, implement observability and self-healing automation, and drive adoption of generative AI tools and intelligent automation across development teams.