Aspire Systems

Databricks Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in St. Louis, MO/Dallas, TX, with a contract length of 6-9 months at $65-$70/hr. Required skills include Azure Data Factory, Databricks, SQL, and 8-10 years of IT experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
July 24, 2026
🕒 - Duration
More than 6 months
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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
St Louis, MO
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🧠 - Skills detailed
#Databricks #Azure #IAM (Identity and Access Management) #Data Quality #PySpark #Datasets #Azure Data Factory #Azure DevOps #SQL (Structured Query Language) #ADF (Azure Data Factory) #AI (Artificial Intelligence) #Data Replication #Spark (Apache Spark) #Data Engineering #"ETL (Extract #Transform #Load)" #Azure SQL #Vault #Replication #Microsoft Azure #Azure Databricks #DevOps
Role description
Job Title: Azure Data Engineer Job Location: St. Louis, MO / Dallas, TX Mode of Hire: C2H C2H duration: 6 - 9 Months Rate: $65 - 70/hr on C2C Job Description: • We are looking for an Azure Data Engineer with strong experience in building and managing data solutions on Microsoft Azure. The candidate should have 8 - 10 years of IT experience, including at least 5 years hands on experience with Azure service offering (must have) such as • Azure Data Factory • Azure Databricks • Data Quality (DLT & DQX) • Azure SQL (Should be an expert) • Azure Key Vault • Azure Entra ID • Azure Devops • DABS • Azure RBAC • Azure IAM • Encrypt and decrypt PII data across systems and manage access through secure service accounts. • Implement and manage Data Replication and CDC processes for efficient data movement using tools such as Stelo and similar technologies • Strong knowledge of PySpark and SQL to process, transform, and analyze large datasets • Collaborate and coordinate with onshore and offshore teams for development, testing, and support. • Implement Data Quality on databricks pipelines • Agents creation in databricks • Have hands on experience on Databricks AI related components.