Lead Data Engineer with Databricks

Hybrid in Dallas, TX, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Contract Independent
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Retail
  • Databricks
  • SQL
  • Lead

Summary

Job Summary

We are looking for a hands-on Lead Data Engineer with strong expertise in Databricks and proven experience in the retail domain. The ideal candidate should be a player-coach who can lead a team while actively contributing to design, development, and optimization of scalable data pipelines, along with strong communication skills to interact with stakeholders and business teams.

Key Responsibilities

  • Design and build scalable data pipelines using PySpark and SQL on Databricks
  • Work with large-scale retail data (transactions, customer, product, inventory)
  • Implement data models using Lakehouse architecture
  • Lead a team of engineers while remaining hands-on in coding.
  • Collaborate with cross-functional teams and clearly communicate technical solutions to non-technical stakeholders
  • Optimize performance of ETL/ELT pipelines
  • Ensure data quality, governance, and best practices

Required Skills

  • Strong hands-on experience with Databricks (must-have)
  • Expertise in PySpark, Spark SQL
  • Strong coding skills in Python and SQL
  • Experience with Delta Lake / Lakehouse architecture
  • Proven experience in building scalable data pipelines
  • Excellent communication and stakeholder management skills
  • Ability to translate business requirements into technical solutions

Location Requirement

  • Candidates must be local to Dallas, TX or nearby. No relocation.

 

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: 91132369
  • Position Id: 8959677
  • Posted 6 hours ago
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