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Senior Azure Databricks Engineer (Hybrid)

Contract to Hire: Charlotte, North Carolina, US

Salary Range: 70.00 - 75.00 | Per Hour

Job Code: 366132

End Date: 2026-01-01

Days Left: 24 days, 5 hours left

Position: Senior Azure Databricks Engineer
Industry: Banking
Type: 12 months contract to hire
Location: Charlotte, NC (3x hybrid)

Day to day:
  • Build and optimize ETL/ELT pipelines in Azure Databricks using PySpark, SQL, and Delta Lake.
  • Manage Lakehouse architecture, Delta tables, and performance tuning.
  • Develop and orchestrate jobs and workflows via Databricks and ADF.
  • Configure clusters for cost and performance efficiency.
  • Implement security, RBAC, and CI/CD for Databricks deployments.
  • Monitor and troubleshoot pipeline issues and cluster performance.
  • Collaborate with data teams to enable scalable data access.
  • Document best practices and mentor junior engineers.


Must haves:

  • 10+ years of total work experience.
  • Experience with Azure Databricks and Azure cloud services and solutions is a MUST.
  • Proven experience as a Data Engineer in a large-scale enterprise environment, with experience in the banking sector.
  • In-depth knowledge of enterprise architecture frameworks and methodologies.
  • Strong understanding of cloud computing, microservices architecture, API management, and emerging technologies.
  • Experience with EA tools like LeanIX, Ardoq is helpful.
  • Excellent communication and interpersonal skills.

 

Salary and Compensation:
The hourly rate for this position is between $70 - $75 per hour. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits:
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).

Job Requirement
  • Azure Databricks
  • SQL
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Srujan Sahu
  • srujan.sahu@collabera.com
Apply Now
Apply Now
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