Data Engineer — Cloud & Analytics

TECO Energy, Inc.

Tampa (FL)

On-site

USD 90,000 - 130,000

Full time

5 hours ago
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Benefits offered by this job

Performance Bonus
Comprehensive Health Coverage
401k Retirement Plan
Paid Time Off

Job summary

Peoples Gas System in Florida – Tampa is seeking a Data Engineer to design, implement, and optimize complex data models and databases. You will plan production data models, ingest sources, and collaborate with development teams, business owners, and IT partners to enable data governance and analytics.

The role requires strong SQL/NoSQL skills and hands-on cloud platform experience, with the ability to work with cross‑functional teams to deliver reliable data solutions.

Qualifications

  • Bachelor’s degree in IT/CS or related field from regionally accredited college/university.
  • 5 years of relevant work experience or 2+ years as a DBA or Data Engineer.
  • Proven experience with Python, R or SQL.
  • Experience with Oracle, SQL Server, SAP HANA or similar DBMS.
  • Hands-on with cloud data platforms such as Azure, Snowflake, GCP or AWS.

Responsibilities

  • Design, develop and maintain data models and databases.
  • Plan, monitor and optimize data ingestion and ETL processes.
  • Collaborate with IT, business owners and developers to enable data governance and analytics.
  • Provide documentation and support for data architectures and deployments.

Skills

Python
SQL
NoSQL
Interpersonal skills

Education

Bachelor’s degree in IT/CS or related field

Tools

Oracle
SQL Server
SAP HANA
Azure
Snowflake
GCP
AWS

Job description

Peoples Gas System in Florida – Tampa is seeking a Data Engineer to design, implement, and optimize complex data models and databases. You will plan production data models, ingest sources, and collaborate with development teams, business owners, and IT partners to enable data governance and analytics.

The role requires strong SQL/NoSQL skills and hands-on cloud platform experience, with the ability to work with cross‑functional teams to deliver reliable data solutions.

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