Enterprise Analytics Data Engineer

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Title: Enterprise Analytics Data Engineer

Company: Tampa Electric Company

Location: Midtown East Tower

State and City: Florida - Tampa

Shift: 8 Hr. X 5 Days

The Data Architects responsible for the “back end” components of the organization's BIA environment from standards, architecture, and design perspectives. Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organization's custom-built analytic data structures (e.g., staging areas, data warehouse and data marts) as well as the design of these structures. Responsible for the strategy and design related to the ‘federation’ of custom-built data architecture with vendor provided solutions.

Provides technical oversight and assures the quality of the work done by data analysts and data engineers and developers. Serve as a subject matter expert with significant, recent hands‑on experience with a state‑of‑the‑art data integration and cleansing tools available in the SAP and Azure platforms.

• Expert‑level SQL, Python, and ETL/ELT pipeline design using tools like dbt, Fivetran, and Airbyte. Proficient in both batch and streaming architectures to support high‑volume enterprise workloads.
• Hands‑on experience with cloud data warehouses (Snowflake, Big Query, Redshift) and lakehouse platforms such as Databricks and Delta Lake. Ability to build and maintain scalable, cost‑optimized infrastructure using Terraform or equivalent IaC tooling.
• Strong foundation in dimensional modeling, star schema design, and slowly changing dimensions. Experience implementing enterprise‑grade semantic layers and dbt best practices across staging, marts, and reusable macros.
• Proficient in workflow orchestration tools (Airflow, Prefect, or Dagster) with experience building CI/CD pipelines for data products. Comfortable with containerization (Docker, Kubernetes) and managing SLA‑driven production environments.