Enterprise Analytics Data Engineer — Data Architecture & ETL

Tampa Electric Company; Tampa (FL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k) Savings plan with company matching

Pension plan

Tuition assistance program

On-site fitness centers

Employee assistance program

Wellness programs

Paid time off

Paid holiday time

Bonus plan

Job summary

Tampa Electric Company is seeking an Enterprise Analytics Data Engineer to oversee the implementation of data architecture and engineering processes for analytic structures. The ideal candidate will have significant experience with data integration tools and cloud technologies, ensuring quality and scalability in the data operations.

The candidate should possess deep knowledge of platforms like SAP and Azure, along with strong SQL and Python skills. The position comes with competitive benefits including a 401(k) savings plan and medical coverage.

Qualifications

• 7 years of direct work experience in a similar role.
• Hands-on experience with state-of-the-art platforms.
• At least one professional certification preferred.

Responsibilities

• Define the data architecture based on enterprise standards.
• Establish best practices for ETL design and documentation.
• Translate user requirements into data models and applications.
• Ensure the quality of data model and ETL application deliverables.
• Provide technical oversight and mentoring to team members.
• Serve as a subject matter expert for BIA initiatives.

Skills

Expert SQL

Python

ETL/ELT pipeline design

Cloud data warehouses (Snowflake, BigQuery, Redshift)

Dimensional modeling and star schema design

Workflow orchestration tools (Airflow, Prefect)

Containerization (Docker, Kubernetes)

Terraform or equivalent IaC tools

Education

Bachelor's degree in Information/Computer Science or related field

Tools

SAP BW4/HANA

Microsoft PowerBI

SQL Server

Oracle

Microsoft Azure

Job description

Tampa Electric Company is seeking an Enterprise Analytics Data Engineer to oversee the implementation of data architecture and engineering processes for analytic structures. The ideal candidate will have significant experience with data integration tools and cloud technologies, ensuring quality and scalability in the data operations.

The candidate should possess deep knowledge of platforms like SAP and Azure, along with strong SQL and Python skills. The position comes with competitive benefits including a 401(k) savings plan and medical coverage.