Hiring: Senior Data Engineer Company: Mastech Digital Location: Pittsburgh, PA Job Posted Time: 2026-09-16 16:05:51 Employment Type: Full-time Target Skills & Keywords : Agile, Azure, CI/CD, Cloud Native, Compliance, Data Lake, Data Pipeline, Databricks, Delta Lake, ELT, ETL, Git, Infrastructure as Code, PySpark, SQL, Scrum, Spark, Terraform About the job Experience: •5 years of hands-on experience with Azure Databricks. •Minimum 5 years of hands-on experience with Azure Databricks. Required Skills: •Your future duties and responsibilities •. Design, develop, and maintain scalable data pipelines using Azure Databricks. •. Build and optimize ETL/ELT workflows leveraging PySpark, SQL, and Delta Lake. •. Implement and manage Unity Catalog to support enterprise data governance, security, metadata management, and fine-grained access control. •. Develop cloud native data engineering solutions on the Microsoft Azure platform. •. Collaborate with architects, business analysts, and cross functional teams to gather and translate business requirements into technical solutions. •. Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency. •. Ensure data quality, reliability, and compliance through validation, monitoring, and best practices. •. Support production deployments, troubleshooting, and performance tuning. •. Participate in code reviews, technical documentation, and continuous improvement initiatives. •. Apply best practices for cloud data engineering, security, and DevOps within Azure environments. •Required qualifications to be successful in this role •. Minimum 5 years of hands-on experience with Azure Databricks. •. Hands on experience with Unity Catalog is mandatory. •. Strong experience building enterprise scale data engineering solutions on Microsoft Azure. Qualifications: •. Databricks Certified Data Engineer (Associate or Professional). •. Microsoft Azure Data Engineer Associate (DP 203) certification. •. Experience with Infrastructure as Code (Terraform/Bicep). •. Experience implementing DevOps practices for Azure Databricks environments. •. Familiarity with Azure Purview/Microsoft Purview is a plus. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!