Senior Data Engineer (with Spark & Databricks, Minimum 8+ years Experience can apply)

Alpharetta, GA, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
$120,000 - $130,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Azure Data Lake Storage (ADLS)
  • ADLS
  • Apache Spark
  • Spark
  • Azure
  • Databricks
  • Azure Databricks

Summary

Job Description:

Job Title: Senior Data Engineer (Spark & Databricks)

Location: Alpharetta, GA (100% Onsite M-F)
Type: Full Time/W2 with Infinite Computer Solutions

Job Description:

Join a high-impact data engineering team building scalable, cloud-native data platforms on Azure. We re looking for a Senior Data Engineer who thrives on solving complex big data challenges using Spark, Databricks, and ADLS at enterprise scale.

What You ll Do

  • Build and optimize high-performance Spark pipelines on Databricks
  • Design scalable ETL workflows and modern data lake architectures
  • Work with massive datasets using Azure Data Lake Storage (ADLS)
  • Collaborate with architects, data scientists, and cloud teams to deliver production-grade data solutions
  • Tune Spark jobs for performance, scalability, and reliability
  • Mentor engineers, review code, and drive engineering best practices

What We re Looking For

  • 8 12 years in Data Engineering or large-scale backend/data platform development
  • Strong hands-on expertise in Apache Spark with Java (Python is a plus)
  • Proven Databricks experience in enterprise environments
  • Deep understanding of ADLS and Azure-based data ecosystems
  • Experience with data modeling, schema design, and performance optimization
  • Strong problem-solving and communication skills

Nice to Have:

  • Delta Lake, Azure Synapse, or Azure-native analytics services
  • CI/CD for data engineering workflows
  • Azure or Databricks certifications

Why Join?

  • Work on enterprise-scale data platforms with modern cloud technologies
  • Solve challenging big data and performance engineering problems
  • Collaborative engineering culture with strong technical ownership
  • Opportunity to influence architecture, scalability, and platform evolution
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10199915
  • Position Id: 8997863
  • Posted 9 hours ago
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