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 Category Code: JN008