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Robotics, Artificial Intelligence, Industrial Automation

Senior Databricks Platform Engineer- W2

United StatesRemoteContractSeniorPosted 1 month agoVisa sponsorship available

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Senior Databricks Platform Engineer (W2 Contract | Remote)

Only W2(No C2C/C2H/1099)

Background in Healthcare/Payments domain

We are seeking a Senior Databricks Platform Engineer with strong experience in Python/PySpark, Databricks, and AWS to support and enhance our enterprise data platform. This role involves a blend of data engineering, platform administration, and cloud optimization.

Key Responsibilities

  • Design and develop scalable data pipelines using PySpark and Databricks
  • Administer and optimize Databricks platform (clusters, jobs, SQL warehouses, Unity Catalog)
  • Build and maintain Delta Live Tables (DLT) and streaming/batch pipelines
  • Implement data ingestion using Auto Loader, CDC, and schema evolution
  • Monitor and tune performance (Photon, autoscaling, query optimization)
  • Manage CI/CD deployments using Databricks Asset Bundles (DABs)
  • Ensure platform security, governance, and audit logging
  • Work with AWS services (IAM, S3, CloudWatch, VPC, KMS)
  • Collaborate with cross-functional teams and support production issues

Required Skills

  • 8+ years of experience with Databricks, PySpark, and Spark
  • Strong knowledge of Delta Lake, Unity Catalog, and Lakehouse architecture
  • Hands-on experience with AWS (IAM, S3, networking basics)
  • Experience with DLT, Auto Loader, CDC, and data pipeline design
  • Solid SQL skills and experience with RDBMS (Oracle preferred)
  • Familiarity with CI/CD tools and Agile methodologies

Preferred Qualifications

  • Databricks Certified Data Engineer Associate
  • AWS Certification (Associate level or higher)
  • Experience with Scala, Spark SQL, Hive
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