Data Engineer

Robotics Technologies; Tampa (FL); On-site; USD 89,000 - 126,000; Part time

Job summary

Robotics Technologies is seeking an experienced Data Engineer to lead data engineering and architecture efforts on the Databricks lakehouse. The role requires extensive Databricks experience, plus strong design of PII/NPI access models, migration planning, and reliability modeling for production workloads.

The position is onsite in Tampa, FL for a 12-month contract with possible extension. Responsibilities include stakeholder management, architecture documentation, and choosing between batch and

Qualifications

• 12+ years in data engineering or architecture.
• 5+ years on the Databricks lakehouse platform.
• Strong Databricks lakehouse development with Spark, Delta Lake, and SQL.
• AWS networking, IAM, encryption, and multi-account design.
• Platform design including PII/NPI access models using Unity Catalog and lineage support.
• Plan migration from legacy Hadoop/Hive/warehouse systems.
• Batch and streaming design, including Kafka and Structured Streaming.

Responsibilities

• Manage stakeholders and vendors
• Produce clear architecture documentation

Skills

Databricks lakehouse

Spark

Delta Lake

SQL

AWS architecture

PII/NPI design

Migration planning

Batch/Streaming

High availability

Cost modeling

Data modeling (medallion)

Hadoop/Hive

Unity Catalog

Tools

Databricks platform

Spark

Job description

The Data Engineer role is available onsite in Tampa, FL and supports a 12-month contract with the possibility of extension. The engagement focuses on data engineering and architecture work centered on the Databricks lakehouse platform, with responsibilities spanning platform design, migration planning, and reliability and cost modeling for production workloads.

Role Details

• Location: Tampa, FL (onsite)
• Duration: 12 Months + Extension
• Bill Rate: $78/hour
• Salary/Hourly: USD 78 - 78 per hourly
• Job ID: J54394
• Employment Type: W-2, 1099, C2C
• Client: To Be Discussed Later
• Domain Exposure: Manufacturing

Key Responsibilities

• Manage stakeholders and vendors
• Produce clear architecture documentation

Required Experience and Skills

• Experience: 12+ years in data engineering or architecture, including 5+ years on the Databricks lakehouse platform
• Databricks and data engineering: strong Databricks lakehouse development with Spark, Delta Lake, and SQL
• Data modeling: medallion and dimensional modeling experience
• AWS architecture: networking, IAM, encryption, and multi-account design
• PII/NPI design: platform design including PII/NPI access models using Unity Catalog and support for lineage
• Migration: plan migration from legacy Hadoop/Hive/warehouse systems
• Batch and streaming: ability to choose between batch and streaming, including Kafka and Structured Streaming designs
• Reliability: disaster recovery and high-availability design
• Cost and capacity: FinOps and Databricks cost and capacity modeling, including development of a business case

Technology Scope

• Databricks lakehouse platform
• Spark
• Delta Lake
• SQL
• Data modeling (medallion, dimensional)
• AWS, IAM, Unity Catalog
• Hadoop, Hive
• Kafka
• Structured Streaming
• PII/NPI

Work Authorization

• US-Citizen, H-1B, OPT-EAD, GC-EAD
• US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other