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Senior Data Engineer (Databricks & Spark Specialist) - Remote

System Soft Technologies • United State
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AI Summary

Lead the design, development, and optimization of scalable data pipelines using Databricks, PySpark, and Delta Lake. Manage complex ETL/ELT workflows, Azure Databricks integrations, and CI/CD pipelines while ensuring high-performance data warehousing solutions. Requires 12-15 years of hands-on experience in big data engineering and cloud ecosystems.

Key Highlights
12-15 years of hands-on experience in Databricks, PySpark, and Delta Lake required
Full ownership of Databricks Jobs/Workflows and YAML-based CI/CD pipelines
Deep expertise in Azure Databricks, ADLS Gen2, and dimensional modeling for data warehousing

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Key Responsibilities
Design, develop, and optimize scalable data pipelines using Databricks, PySpark, and Delta Lake
Manage and automate Databricks Jobs/Workflows and YAML-based CI/CD pipelines for reliable deployments
Develop and maintain data warehousing solutions with dimensional modeling and ETL/ELT patterns
Collaborate with cross-functional teams to ensure seamless integration with Azure Databricks and ADLS Gen2
Technical Skills Required
Databricks PySpark SQL

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Benefits & Perks
Remote work (fully)
Visa sponsorship available

Job Description


REMOTE


ONLY W2 - NO CORP TO CORP


OPEN TO SPONSORSHIP


MUST HAVE 12-15 YEARS OF EXP


MUST HAVE


  • Strong hands-on experience with Databricks, PySpark, Spark SQL, and Delta Lake.
  • Experience developing and managing Databricks Jobs/Workflows.
  • Strong SQL and Python programming skills.
  • Experience with YAML-based CI/CD pipelines and source control tools such as Git.
  • Experience with Azure Databricks, ADLS Gen2, and Azure ecosystem.

Knowledge of data warehousing, dimensional modeling, and ETL/ELT design patterns



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Job Overview
Posted Oct 30, 2026
Employment Full-time
Experience Mid-Senior level
Location United State
Category Data Science
Company System Soft Technologies
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