Why This Role Stands Out
This hybrid role offers a fantastic opportunity to design and implement self-service analytics solutions for a state agency, building valuable cloud data platform and Tableau expertise. You'll thrive here if you have a strong foundation in SQL, data modeling, ETL/ELT pipelines, and Tableau development, coupled with a desire to contribute to a scaling roadmap. Apply to join a project with significant impact and professional growth!
Quick Overview
Job Description
Role Description
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 → Bronze → Silver → 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
- Experience with IaC tooling such as Terraform or GitLab CI/CD
- Prior experience on State/public sector engagement
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