Maitsys

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Brentwood, TN, with a 10+ year experience requirement. Key skills include Azure Databricks, Data Engineering, and Python. The contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Brentwood, TN
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🧠 - Skills detailed
#PySpark #"ETL (Extract #Transform #Load)" #Data Pipeline #Synapse #Data Architecture #Azure Data Factory #AI (Artificial Intelligence) #Data Strategy #Data Governance #Python #Databricks #Azure SQL #SQL (Structured Query Language) #Strategy #Data Quality #DevOps #Scala #Observability #ADF (Azure Data Factory) #Delta Lake #Azure #Azure Databricks #Spark (Apache Spark) #Azure DevOps #Data Engineering
Role description
Senior Data Engineer @ Brentwood, TN (Onsite) We're looking for a Senior Data Engineer to join our Enterprise Data Engineering team. Ideal candidates will have 10+ years of Data Engineering experience, strong architecture skills, and a proven track record delivering production-grade data platforms in Azure. This is a senior-level engineering and architecture role focused on modernizing our enterprise data platform and advancing our data strategy. We're looking for someone who can architect solutions, build scalable data products, and help take our current data architecture and engineering practices to the next level. Key areas of focus: • Modernize and enhance our Azure Databricks lakehouse architecture • Design and implement enterprise-grade data pipelines and integration patterns • Migrate and transform existing data assets from Silver to Gold layers for business consumption • Improve data quality, governance, observability, and operational reliability • Build trusted, reusable data products that support Finance, Operations, and Executive Reporting • Establish AI-ready data foundations to support future analytics and AI initiatives • Partner with business stakeholders and engineering teams to define long-term architecture standards Technology stack: • Azure Databricks (PySpark, Delta Lake, Unity Catalog) • Azure Data Factory • Azure SQL / Synapse • Python & SQL • Azure DevOps / CI/CD • Data Governance and Observability