
Nityo Infotech Corporation
Irvine, California • 3d ago
Easy Apply
Contract, Third Party
Depends on Experience
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Nityo Infotech Corporation
Irvine, California • 3d ago
Easy Apply
Contract, Third Party
Depends on Experience


TP-LINK Research America Corporation
Irvine, California • Today
Full-time
USD 100,000.00 - 120,000.00 per year





Tanisha Systems, Inc.
Irvine, California • Yesterday
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Third Party, Contract
Depends on Experience




Cushman & Wakefield
Remote or Costa Mesa, California • Today
Full-time
USD 124,780.00 - 146,800.00 per year






Job Title: QA Test Lead (Databricks & AWS)
Location: Irvine, CA (Local prefer)
Visa : Contract
Key Responsibilities:
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Irvine, California
•
Today
Project description We are seeking a seasoned professional whose role sits at the intersection of platform engineering, data engineering, and data product development. You will build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production. This is a contractor position. Responsibilities Design, build, and enhance platform capabilities within
Full-time
Tustin, California
•
Today
Location: Tustin, CA Salary: $160,000.00 USD Annually - $170,000.00 USD Annually Description: Senior Platform Engineer Irvine, CA Fulltime We are seeking a Senior Platform Engineer to build, administer, automate, secure, and operate enterprise Databricks and cloud data-platform environments. The role is responsible for Databricks workspace administration, Unity Catalog governance, identity and access management, compute and cluster policies, infrastructure automation, CI/CD enablement, monitor
Full-time
USD 160,000.00 - 170,000.00 per year
Remote
•
2d ago
Title: Databricks Data Engineer - REMOTE Job Title: Data Engineer Experience: 12+ years Position Summary Seeking an experienced Databricks Engineer to support the modernization of our enterprise data platform as part of our cloud transformation journey. The ideal candidate will design, develop, and optimize scalable data solutions on the Databricks Lakehouse Platform while enabling advanced analytics, AI/ML initiatives, and enterprise-wide data products. This role will work closely with Data A
Easy Apply
Contract
60
Remote
•
10d ago
Employment Type: W2 Only Desired Skills Experience with the Databricks Lakehouse Platform Strong knowledge of Apache Spark, PySpark, Python, SQL, or Scala Experience developing and optimizing data pipelines Knowledge of Delta Lake, Delta Live Tables, Unity Catalog, and Databricks Workflows Experience with data warehousing, data lakes, ETL, and ELT processes Understanding of data governance, security, access controls, and platform administration Experience integrating Databricks with AWS, M
Easy Apply
Full-time, Third Party
$70 - $80