Databricks Lakehouse Platform

Databricks Lakehouse Platform Engineer Jobs

2 jobs found

Today

Azure Data Engineer

Robotics Technologies Cupertino, CA

Cupertino, CA

Today

$83 - $83/hr Contract Azure Azure Data Engineer Azure Data Factory

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Job Description

Robotics Technologies is seeking an Azure Data Engineer for an onsite opportunity in Cupertino, CA. This is an 8-month contract position with the possibility of extension. The role focuses on building and evolving Azure-based data pipelines, with particular emphasis on healthcare data workflows.

Role Summary

In this position, you will design and implement ETL/ELT solutions leveraging Azure data services and modern Lakehouse patterns. Experience working with healthcare data integration and processing is important, and knowledge of relevant healthcare standards is a plus.

Responsibilities

Develop ETL/ELT pipelines.
Support healthcare data integration and processing.

Required Qualifications

Strong experience in Azure Data Engineering.
Hands-on experience with Azure Databricks and PySpark.
Active Databricks Certification.
Experience with Azure Data Factory (ADF) and ADLS Gen2.
Proficiency with Python, SQL, and Apache Spark.
Experience with ETL/ELT pipeline development.
Knowledge of Delta Lake and Lakehouse architecture.
Ability to work on healthcare data integration and processing.
Preferred: Knowledge of HIPAA and healthcare data standards.

Technologies

Azure
Azure Databricks
PySpark
Databricks
Azure Data Factory (ADF)
ADLS Gen2
Python
SQL
Apache Spark
Delta Lake
Lakehouse architecture
ETL/ELT
HIPAA

Location: Cupertino, CA (onsite)
Compensation: USD 83 per hour
Employment type: contract

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1d ago

Data Engineer

Robotics Technologies Tampa, FL

Tampa, FL

1d ago

$78 - $78/hr Full time Apache Spark Big Data Bigdata

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Job Description

Robotics Technologies is hiring a Data Engineer for an onsite role in Tampa, FL. This is a 12-month contract with a potential extension, offering a $78/hour bill rate. The engagement focuses on manufacturing data and lakehouse modernization, including platform design for sensitive data and resilient AWS architecture.

Key Responsibilities

Manage stakeholders and coordinate with vendors to align on delivery and technical decisions.
Maintain clear data and platform architecture documentation throughout the project lifecycle.

What You’ll Need

12+ years in data engineering or data architecture, with 5+ years on the Databricks lakehouse platform.
Strong hands-on experience with Databricks alongside Spark, Delta Lake, and SQL.
Proven ability in data modeling, including medallion and dimensional approaches.
AWS expertise covering networking, IAM, encryption, and multi-account design.
Experience designing data platform access for PII/NPI, including Unity Catalog access models and lineage.
Ability to plan migration from legacy Hadoop, Hive, and warehouse environments.
Capability to design for both batch and streaming patterns, including Kafka and Structured Streaming.
Experience with disaster recovery and high-availability architecture.
FinOps and Databricks cost and capacity modeling, including development of a business case.

Technologies and Domain

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

Logistics

Location: Tampa, FL (onsite)
Duration: 12 Months + Extension
Rate: $78/hour
Employment type: W-2, 1099, C2C
Work authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD; US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job ID: J54394
Client: To Be Discussed Later

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