Data Engineer

Artifintech; Tampa (FL); On-site; USD 91,000 - 124,000; Full time

Job summary

Artifintech in Tampa, FL seeks a senior Data Engineer with 12+ years in data engineering or architecture, including 5+ years on the Databricks lakehouse. You’ll work with Spark, Delta Lake, and SQL, plus secure data modeling and Unity Catalog concepts.

Responsibilities include designing batch and streaming pipelines (Kafka, Structured Streaming), migrating from Hadoop/Hive, ensuring privacy for PII/NPI, implementing disaster recovery, cost modeling for FinOps, and clear architecture

Qualifications

• 12+ years in data engineering or architecture.
• 5+ years on Databricks lakehouse platform.
• Strong Spark, Delta Lake and SQL.
• AWS architecture: networking, IAM, encryption.
• Secure design for PII/NPI with Unity Catalog access models.
• Migration planning from Hadoop/Hive/warehouse systems.
• Batch and streaming design with Kafka/Structured Streaming.
• Disaster recovery and high-availability design.
• Databricks cost modeling and FinOps.

Skills

Data engineering

Databricks lakehouse

Spark

Delta Lake

SQL modeling

Data modeling

AWS architecture

Security design

Migration planning

Streaming design

Disaster recovery

Cost modeling

FinOps

Stakeholder comms

Tools

Kafka

Delta Lake

Unity Catalog

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.