Senior Data Engineer - Databricks

  • New York, NY
  • Posted 40 days ago | Updated 19 days ago

Overview

Hybrid
$65 - $100
Contract - Independent
Contract - W2
Contract - 6 Month(s)
10% Travel

Skills

Databricks
Azure Databricks
Delta Lake
Spark
Spark SQL
DataFrames
PySpark
Databricks Notebooks
DBFS
Databricks File Systems
Databricks Connect
ETL
Data Engineering
Data Modeling
ML
Machine Learning
LLM
Large Language Models
Apache Spark

Job Details

**No sponsorship available. Please no 3rd party submissions**

 

Ready to do some interesting, gratifying, and impactful work with Databricks?

 

Seeking a Senior Data Engineer with strong Databricks expertise to join our Data Analytics & AI team. You ll partner with clients to build scalable cloud and data engineering solutions that deliver real business value.

 

Key Points:

  • 6-month contract-to-hire (Although FTE hires are the preference, this particular role due to current constraints and approvals for hires in later quarters)
  • Rate: OPEN AND COMPETITIVE - rate depending on experience, alignment, location, etc.
  • Ideal candidates are based in Chicago or New York, but we are also open to locations including Seattle, Washington D.C., Los Angeles, San Francisco, New York City, Dallas, and Minneapolis.
  • Onsite 2 days a week in downtown office.
  • Must be open to travel, generally 20-30%.
  • Applicants must have prior or current experience in tech/management consulting.
  • Compensation upon conversion will be $120,000 to $162,000 w/ 15% bonus depending on location, level-set, experience, etc.

 

What You ll Do:

  • Collaborate with product and engineering teams to create meaningful results
  • Implement robust data engineering practices using the Databricks platform
  • Contribute to large-scale transformation projects for enterprise clients
  • Understand business goals and challenges to design thoughtful technical solutions
  • Promote reusable frameworks and modern architectural patterns
  • Mentor junior engineers and support team growth
  • Deliver high-performance, scalable data solutions focused on business outcomes

 

What You Bring:

  • 3-6+ years of experience in data engineering, with hands-on Databricks skills
  • Familiarity with tools like Spark SQL, Delta Lake, Notebooks, Databricks File System (DBFS), and Databricks Connect
  • Strong grasp of data architecture, including ETL, modeling, governance, and security
  • Experience building ML pipelines and scalable data systems
  • Hands-on experience in data engineering and modeling
  • Ability to simplify and communicate technical concepts to non-technical stakeholders
  • Comfortable in fast-paced, team-oriented environments
  • Prior consulting experience is a plus
  • Relevant certifications (Databricks, Azure, AWS) preferred
  • Willing to travel up to 30%
  • Hybrid schedule with 2 days per week in office
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