Senior Data Engineer (Tech Lead) – Databricks / Azure

Compensation: $65.00-$70.00 hourly
Location: Remote
Duration: Contract through December 2026

We are seeking a Senior Data Engineer / Tech Lead to support enterprise data initiatives, focusing on building and optimizing scalable data pipelines within the Azure ecosystem. This is a nearshore role requiring availability during EST business hours (8–5 or 9–6).
This individual will play a key leadership role in designing, developing, and ensuring the reliability of data solutions that power business reporting and analytics.

Key Responsibilities:

• Lead the design and development of scalable data pipelines using Databricks and Azure services
• Move and transform data from source systems into Azure Data Lake for reporting and analytics
• Ensure data quality through proper unit testing and system/integration testing
• Validate that all required files and transactions are accurately captured and processed
• Collaborate with cross-functional teams in an Agile environment
• Provide technical leadership, mentorship, and best practices to the engineering team
• Work with Unity Catalog and implement/manage Delta Tables within Databricks

Required Qualifications (Must-Haves)

• 5+ years of Databricks experience (Certification required)
• 5+ years of Azure Data Factory experience
• 5+ years of strong SQL development experience
• Proven experience in a Tech Lead or senior-level engineering role
• Strong understanding of Agile methodologies
• Excellent verbal communication skills

Additional Requirements (Select Roles)

• Experience with Power BI development
• Ability to support performance testing and optimization of reporting solutions

Preferred Experience

• Strong experience with Apache Spark programming
• Hands-on experience with data validation, testing frameworks, and pipeline monitoring
• Familiarity with enterprise-scale data platforms and governance practices