Senior Enterprise Analytics Data Engineer

Tampa Electric; Tampa (FL); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

401k matching

Pension plan

Paid time off

Medical coverage

Job summary

Tampa Electric Company is seeking an Enterprise Analytics Data Engineer to design and maintain the organization’s analytic data structures, including staging areas, data warehouse, and data marts. The role focuses on data integration, governance, and performance across SAP and Azure platforms.

Responsibilities include guiding ETL design, implementing scalable data pipelines, and mentoring analysts and engineers within the BIA team. Strong SQL, Python, and modern tooling are essential for success.

Qualifications

• Bachelor’s degree in Information/Computer Science or related discipline.
• Hands‑on with SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, PowerBI are preferred.

Responsibilities

• Define and evolve the data architecture to support reporting, OLAP, dashboards, data mining, and statistical analysis.
• Ensure architecture meets scalability, security, reliability, and flexibility requirements.
• Determine deployment environment (cloud or on‑premise).
• Establish best practices for source data analysis, ETL design, and data federation across platforms.
• Provide QA oversight and mentoring to ETL developers and data analysts.
• Serve as SME for BIA-related initiatives and modern data integration/cleansing tools.

Skills

SQL

Python

ETL/ELT

dbt

Fivetran

Airbyte

Batch processing

Streaming architectures

Terraform

Education

Bachelor’s degree in Information/Computer Science or related

Tools

Snowflake

BigQuery

Redshift

Databricks

Delta Lake

Terraform

Airflow

Docker

Kubernetes

Job description

Tampa Electric Company is seeking an Enterprise Analytics Data Engineer to design and maintain the organization’s analytic data structures, including staging areas, data warehouse, and data marts. The role focuses on data integration, governance, and performance across SAP and Azure platforms.

Responsibilities include guiding ETL design, implementing scalable data pipelines, and mentoring analysts and engineers within the BIA team. Strong SQL, Python, and modern tooling are essential for success.