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Senior Azure Databricks Engineer (Hybrid)
Contract to Hire: Charlotte, North Carolina, US span>
Salary Range: 70.00 - 75.00 | Per Hour
Job Code: 366132
End Date: 2026-01-01
Days Left: 24 days, 5 hours left
Industry: Banking
Type: 12 months contract to hire
Location: Charlotte, NC (3x hybrid)
Day to day:
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Build and optimize ETL/ELT pipelines in Azure Databricks using PySpark, SQL, and Delta Lake.
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Manage Lakehouse architecture, Delta tables, and performance tuning.
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Develop and orchestrate jobs and workflows via Databricks and ADF.
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Configure clusters for cost and performance efficiency.
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Implement security, RBAC, and CI/CD for Databricks deployments.
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Monitor and troubleshoot pipeline issues and cluster performance.
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Collaborate with data teams to enable scalable data access.
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Document best practices and mentor junior engineers.
Must haves:
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10+ years of total work experience.
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Experience with Azure Databricks and Azure cloud services and solutions is a MUST.
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Proven experience as a Data Engineer in a large-scale enterprise environment, with experience in the banking sector.
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In-depth knowledge of enterprise architecture frameworks and methodologies.
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Strong understanding of cloud computing, microservices architecture, API management, and emerging technologies.
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Experience with EA tools like LeanIX, Ardoq is helpful.
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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
- Phone
- Srujan Sahu
- srujan.sahu@collabera.com