Artificial Intelligence (AI), Cloud Computing, Communication Skills, Data Analysis, Data Management, Data Modeling, Database Extract Transform and Load (ETL), Microsoft Windows Azure, Multiplatform/Cross-Platform, Performance Tuning/Optimization, Python Programming/Scripting Language, SQL (Structured Query Language), Snowflake Schema, Team Player, Use Cases
Job Title: Senior Azure Data Engineer with AI background
Location: Trenton NJ (4 days onsite & 1 day remote)
12+ months contract In-Person Interview Required We are seeking a hands-on
Azure Data Engineer to design, build, and optimize modern data platforms supporting analytics and AI initiatives. This role partners closely with technology and business teams to deliver scalable, high-performance data solutions.
Responsibilities- Design and develop data pipelines using Azure Data Services and Databricks.
- Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
- Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
- Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
- Collaborate with stakeholders to translate business needs into technical solutions.
Required Skills- Strong experience in Azure Data Engineering.
- Hands-on expertise with Databricks, PySpark, Python SQL.
- Experience with Azure Fabric, Snowflake, and modern data architectures.
- Solid understanding of cloud data pipelines, performance tuning, and data governance.
- Strong communication and stakeholder collaboration skills.
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Thunderhawk Technology Partners LLC