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

Title: Enterprise Analytics Data Engineer

Company: Tampa Electric Company

Location: Midtown East Tower

State and City: Florida - Tampa

Shift: 8 Hr. X 5 Days

Recruiter: Mark Koener

TITLE: Enterprise Analystics Data Engineer

PERFORMANCE COACH: Manager, Business Intelligence and Analytics

COMPANY: Tampa Electric Company

DEPARTMENT: Information Technologies/Advanced Digital Solutions

POSITION CONCEPT

The Data Architects responsible for the “back end” components of the organizations 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 organizations 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 etc. Responsible for assuring that data integration and cleansing tool suites are effectively deployed and applications are developed based on industry and vendor‑specified best practices. Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management.

Focus Areas

• 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, BigQuery, 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.

Primary Duties And Responsibilities

• Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP, dashboards, data mining, and statistical analysis. Ensure the architecture meets operational requirements including scalability, security, reliability, and flexibility. Determine the appropriate deployment environment, whether cloud‑based or on‑premise. 25%
• The Data Architect, in alignment with enterprise standards, is responsible for establishing best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement (with the Information Architect), ETL testing and release management (with the Change Coordinator), database‑level security (with DBAs), and data masking, anonymization, and tokenization. 15%
• The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures. Responsibilities include deploying metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implementing security for data integration and cleansing tools; collaborating on support environments and release management best practices; overseeing the operational environment; and working with DBAs and operations teams to monitor and optimize ETL and data structure performance. 15%
• Accountable for the quality of data model and ETL application deliverables and so is responsible for establishing and managing QA related functions including: Testing (unit, system, stress, etc.) and Peer reviews (e.g., reviews of data models, ETL application design, etc.). 15%
• Provides technical oversight of the activities of ETL developers and data analysts and provide coaching and mentoring to these BIA team members regarding technical skills and competencies. 15%
• Serves as a technical subject matter expert (SME) to provide consultation for BIA‑related initiatives. 15%

SUPERVISION

None

RELATIONSHIPS

Key Internal: Stakeholders of the BIA Solution.

Key External: SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors.

Qualifications

Education

Required: Bachelor’s degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline.

Preferred: At least one professional certification in specific job‑related disciplines preferred in addition to the requirements above.

Direct Experience

Required: 7 years of direct work experience performing the Duties & Responsibilities of this position or performing duties closely related to the Duties & Responsibilities of this position.

Hands‑on experience with state‑of‑the‑art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.

Preferred: Gas or Electric utility experience

Experience working in large public or private‑sector organizations

Supervisory Experience

NONE

Required

Knowledge/Skills/Abilitiest (KSA)

• Deep knowledge of and experience with SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and understanding of SAP HANA, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. platforms and ability to provide thought leadership regarding their deployment.
• Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications.

Preferred

• Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System)
• Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
• Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company.

TECO offers a competitive Benefits package!!

Competitive Salary

401k Savings plan w/ company matching

Pension plan

Paid time off

Paid Holiday time

Medical, Prescription Drug, & Dental Coverage

Tuition Assistance Program

Employee Assistance Program

Wellness Programs

On-site Fitness Centers

Bonus Plan and more!