Data Engineer

Quantum Technologies. LLC; Tampa (FL); On-site; USD 89,000 - 126,000; Full time

Job summary

Quantum Technologies. LLC in Tampa, FL is seeking a Data Engineer for a 12-month + extension engagement.

The role requires extensive data engineering and architecture experience, including Databricks lakehouse, Spark, Delta Lake, SQL, and AWS networking and IAM. You will design secure, scalable data pipelines, choose batch vs streaming (Kafka, Structured Streaming), ensure data lineage and Unity Catalog access models, and support migration from Hadoop/Hive.

Qualifications

• 12+ years in data engineering or architecture.
• 5+ years on Databricks lakehouse platform.
• Strong experience with Spark, Delta Lake, and SQL.

Responsibilities

• Design secure, scalable data pipelines on AWS and on-prem hybrid environments.
• Choose batch vs streaming approaches (Kafka, Structured Streaming).
• Ensure data lineage and Unity Catalog access models.

Skills

Databricks lakehouse

Apache Spark

Delta Lake

SQL

Data modeling

Dimensional modeling

AWS architecture

Networking

IAM

Encryption

Unity Catalog

Data lineage

Hadoop migration

Kafka

Structured Streaming

Disaster recovery

High availability

FinOps

Cost modeling

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.