Role - Data Engineer Databricks
Location - Tampa FL (Local profiles only)
Type- Contract W2 only

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

Data Engineer

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