Data Engineer

Robotics Technologies; Tampa (FL); On-site; USD 107,000 - 124,000; Full time

Job summary

Robotics Technologies LLC is seeking an experienced Data Engineer for a 12-month Tampa assignment. The role targets senior-level data platform architects with extensive Databricks lakehouse experience and strong skills in Spark, Delta Lake, SQL, and data modeling.

The candidate should design secure, scalable AWS data architectures supporting PII/NPI data, migration from legacy systems, and both batch and streaming pipelines.

Qualifications

• 12+ years in data engineering or architecture.
• 5+ years on Databricks lakehouse platform.
• Strong Spark, Delta Lake and SQL; data modeling (medallion, dimensional).
• AWS networking, IAM, encryption; multi-account design.
• Security design for PII/NPI, Unity Catalog access models and lineage.
• Migration planning from Hadoop/Hive/warehouse.
• Batch vs streaming design (Kafka, Structured Streaming) and hybrid approaches.
• Disaster recovery and high-availability design.
• FinOps and Databricks cost/capacity modeling; business case.
• Stakeholder and vendor management; architecture documentation.

Skills

Databricks lakehouse

Spark/Delta Lake/SQL

Data modeling

AWS architecture

PII/NPI security

Migration planning

Batch and streaming design

Disaster recovery/HA

FinOps / cost modeling

Stakeholder management

Job description

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

Job Title: Data Engineer
Location: Tampa, FL
Duration: 12 Months + Extension
Bill Rate: $78/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EADJob Description :

Must-Have Skills (candidate must meet all)

• Experience:12+ years in data engineering or architecture, with 5+ years on Databricks lakehouse platform.
• Data platform fundamentals:Strong Spark, Delta Lake and SQL, plus data modeling (medallion, dimensional).
• AWS architecture:Networking, IAM, encryption and multi-account design on AWS.
• Secure design:Platform design for PII/NPI, including Unity Catalog access models and lineage.
• Migration:Migration planning from legacy Hadoop/Hive/warehouse systems.
• Streaming and batch design:Ability to choose between batch and streaming (Kafka, Structured Streaming) and design for both.
• Resilience:Disaster recovery and high-availability design.
• Cost modeling:FinOps and Databricks cost and capacity modeling, including a business case.

Communication:Stakeholder management, vendor management and clear architecture documentation

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.