Data Engineer — Cloud, AI & Big Data Solutions

TECO Peoples Gas; Tampa (FL); Vor Ort; USD 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Performance bonus

Health coverage

401k plan

Pension plan

Paid time off

Tuition reimbursement

Zusammenfassung

Peoples Gas System is seeking a Data Engineer in Florida (Tampa) to design, implement, and optimize complex data models and database solutions. You will collaborate with development teams and business owners to enable data migration, governance, and analytics capabilities.

Responsibilities include data design, performance tuning, and production support for data platforms across Azure, AWS, and GCP with emphasis on data quality, security, and scalability.

Qualifikationen

• Bachelor’s degree in IT/CS or related field.
• 5 years of work experience related to the duties, or 2 years as a DBA or Data Engineer.
• Demonstrated programming in Python, SQL or R.
• Experience with database systems such as Oracle, MS SQL Server, SAP HANA.
• Cloud data platforms such as Azure, AWS or GCP.

Aufgaben

• Perform database-related activities during evaluations and deployments.
• Plan and tune database performance for optimal response times.
• Create and maintain data models, data quality and data ingestion processes.
• Design and implement data backup/recovery strategies and governance.
• Collaborate with IT and business teams on data initiatives and analytics.

Kenntnisse

Python

SQL

R

NoSQL

Data modeling

Interpersonal skills

Ausbildung

Bachelor’s degree in IT/CS or related field

Tools

Oracle

Microsoft SQL Server

SAP HANA

Azure

AWS

GCP

Snowflake

Databricks

Jobbeschreibung

Peoples Gas System is seeking a Data Engineer in Florida (Tampa) to design, implement, and optimize complex data models and database solutions. You will collaborate with development teams and business owners to enable data migration, governance, and analytics capabilities.

Responsibilities include data design, performance tuning, and production support for data platforms across Azure, AWS, and GCP with emphasis on data quality, security, and scalability.