

Databrick Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databrick Data Engineer in Coppell, TX, on a long-term contract with a competitive pay rate. Requires 8+ years in data engineering, expertise in Azure & Databricks, and strong skills in SQL, Python, and data governance.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 12, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Coppell, TX
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π§ - Skills detailed
#Azure #Databricks #Deployment #Compliance #Automation #Data Engineering #Documentation #Monitoring #SQL (Structured Query Language) #Data Quality #Spark (Apache Spark) #Python #Data Governance #Data Integrity
Role description
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Direct Client::Job Title: Databrick Data Engineer Hybrid Dallas, TX
D&B
Job Title: Support Engagement Lead β Data Platform (Azure & Databricks)
Location: Coppell, TX -
Duration: Long term
Role Overview:
We are seeking a strong Data Engineering Lead with support engagement experience to manage and enhance a Data Platform built on Azure and Databricks. This role requires a hands-on leader who can stabilize, optimize, and mature platform operations through structured processes and automation.
Key Responsibilities:
β’ Incident & Communication Management β Ensure quick resolution, RCA, and transparent stakeholder updates.
β’ Proactive Monitoring & Optimization β Improve performance, cost, and reliability.
β’ Data Quality & Governance β Enforce data integrity, lineage, and compliance.
β’ Change & Release Management β Streamline deployments and minimize disruptions.
β’ Reporting & Continuous Improvement β Track KPIs, resolve recurring issues, and drive efficiency.
β’ Knowledge Management β Maintain documentation, SOPs, and training for seamless operations.
β’ Automation & Monitoring β Implement self-healing mechanisms and reduce manual overhead.
Qualifications:
β’ 8+ years in data engineering & platform support, with expertise in Azure & Databricks.
β’ Strong knowledge of incident management, performance tuning, and data governance.
β’ Hands-on experience with SQL, Python, Spark, and CI/CD pipelines.
β’ Familiarity with monitoring tools (Azure Monitor etc.) and automation frameworks.
β’ Excellent communication and stakeholder management skills.
Please share your details along with the visa and DL Copy!
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