Support the design and implementation of self-service analytics on a cloud data platform and Tableau for a State agency client. Responsibilities include provisioning the environment, defining data models and source-to-target mappings, building data ingestion pipelines, developing Tableau dashboards, and conducting functional testing. The engineer will also contribute to technical design documentation and support the development of a scaling roadmap for broader production rollout.

Technical Skill Set
• Hands-on experience provisioning and configuring cloud data platform environments including databases, schemas, compute resources, and role-based access control (RBAC)
• Proficiency in SQL for data transformation, stored procedures, and data quality validation
• Experience with data loading and ingestion mechanisms including streaming, micro-batch, and bulk load patterns
• Experience designing and implementing cloud-native ETL/ELT pipelines using batch and CDC-based ingestion patterns
• Strong understanding of layered data architecture concepts (Medallion / Landing 12 Bronze 12 Silver 12 Gold)
• Experience with logical and physical data modeling and producing source-to-target mapping specifications
• Hands-on Tableau development including workbooks, dashboards, and cloud data platform-connected data sources with live and extract connection configurations
• Familiarity with Tableau row-level security (RLS) and user-based access controls
• Working knowledge of cloud data services including object storage and database migration/replication services
• Ability to produce technical design documentation, data mapping specifications, and functional testing artifacts for both technical and business audiences
• Familiarity with Python or shell scripting for pipeline automation and workflow orchestration

Nice to Have
• Experience with IaC tooling such as Terraform or GitLab CI/CD
• Prior experience on State/public sector engagement

US clearance preferred- secret
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