Looking for Data Engineer (Databricks) – Tampa FL (Local profiles only)

Hi All,

 

Hope you are doing well.

 

Looking for only local consultant and don’t share the non-local.

 

Role: Data Engineer (Databricks)

Location: Tampa FL (Local profiles only)

Duration: Contract

Experience: 9+ above

 

Job Description – Data Engineer (Databricks)

 

We are seeking a hands-on Data Engineer to join our data platform team and serve as the go-to expert for designing, building, and scaling modern data solutions.

 

Role Overview

You will be responsible for building and scaling a cloud-based data platform, with a strong focus on Databricks, data pipelines, and secure architecture. This role combines engineering, platform design, and data governance, with an expectation of ownership from design through implementation.

 

Key Responsibilities

 Design and implement scalable data pipelines for batch and streaming use cases

Build and optimize Databricks-based data platform architecture

Define and implement data models and Lakehouse design patterns

Lead platform scalability, performance tuning, and cost optimization efforts

Establish and enforce data security, access controls, and governance standards

 Support data ingestion, transformation, and consumption layers

 Enable downstream analytics, reporting, and AI-driven use cases

 Drive best practices for CI/CD, automation, and operational excellence

 Act as the technical SME for data engineering and platform design

 

Required Skills

·     Strong experience with Databricks, Spark, and PySpark

·     Proven expertise in building data pipelines and distributed data processing systems

·     Deep understanding of data lake / Lakehouse architectures

·     Strong SQL and data modeling skills

·     Experience working with cloud platforms (AWS or equivalent)

·     Familiarity with data platform design, scalability, and performance optimization 

Nice to Have

·     Experience with streaming data frameworks

·     Exposure to AI/ML or data-driven applications

·     Experience with data governance, lineage, and security frameworks

·     Familiarity with CI/CD pipelines for data engineering

 

What Success Looks Like

·     Establishes a scalable and secure data platform foundation

·     Becomes the go-to expert for data engineering and Databricks

·     Enables faster delivery of data products, analytics, and AI capabilities

·     Drives consistent best practices across pipelines, architecture, and governance