Remote Azure Data Engineer – Databricks & Cloud Data Platforms

Experis

Baltimore (MD)

On-site

USD 98,000 - 103,000

Full time

43 hours ago
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Benefits offered by this job

Medical Plans
Vision Plan
HSA
HFA
DCA
Life Insurance
STD/LTD
Travel Insurance
Weekly Pay

Job summary

Experis is seeking a Sr. Data Engineer for a remote role that aligns with Eastern Time business hours.

You will design, build, and operate scalable cloud-based data platforms and pipelines using Azure services and Databricks, focusing on robust ETL/ELT processes and secure data solutions. Ideal candidates bring 5+ years on Azure, 3+ on Azure Databricks, 5+ PySpark, 8+ years in data warehousing/engineering, and advanced SQL design, with a collaborative mindset to support cross-functional teams

Qualifications

  • 5+ years of experience with Microsoft Azure cloud services.
  • 3+ years of hands-on experience with Azure Databricks.
  • 5+ years of experience developing solutions using PySpark.
  • 8+ years of experience in data warehousing and data engineering.
  • Advanced SQL development and database design experience.

Responsibilities

  • Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.
  • Build and maintain efficient ETL/ELT processes for structured and unstructured data sources.
  • Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms.
  • Create high-quality, secure, and maintainable data solutions following engineering best practices.
  • Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives.

Skills

Azure cloud services
PySpark
Data warehousing
SQL development

Tools

Azure Databricks

Job description

Experis is seeking a Sr. Data Engineer for a remote role that aligns with Eastern Time business hours.

You will design, build, and operate scalable cloud-based data platforms and pipelines using Azure services and Databricks, focusing on robust ETL/ELT processes and secure data solutions. Ideal candidates bring 5+ years on Azure, 3+ on Azure Databricks, 5+ PySpark, 8+ years in data warehousing/engineering, and advanced SQL design, with a collaborative mindset to support cross-functional teams

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