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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Engineer - **Company:** Yoh Services LLC - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $105,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Code Review, Continuous Delivery, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Apache Hive, Python (Programming Language), SQL Azure, Online Analytical Processing, Online Transaction Processing, Performance Tuning, Role-Based Access Control, Power BI, Azure Machine Learning, Azure Data Lake, SQL Databases, Data Streaming, Management of Software Versions, Azure Data Factory, Apache Spark, Build Management, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Data Lineage, Star Schema, Apache Kafka, Machine Learning Operations, Software Coding, Terraform, Azure Synapse Analytics, Data Pipelines, Key Vault, Databricks - **Published:** September 15, 2026 - **Apply:** https://www.dice.com/job-detail/63458c45-57bd-42bf-8957-96526356205b ## About the Role * Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience). * 5+ years of data engineering experience, including 3+ years with Azure Databricks / Apache Spark (PySpark). * Strong experience with Delta Lake, Unity Catalog, Databricks notebooks, and SQL-based warehousing patterns. * Hands-on experience with ADLS Gen2, Event Hub, ADF, Key Vault, Synapse. * Strong coding skills in Python and SQL; familiarity with Scala is a plus. * Solid understanding of data modeling (OLTP/OLAP), star/snowflake schemas, and performance tuning. * Experience implementing CI/CD for Databricks using Databricks CLI, Terraform, and/or Azure DevOps. * Databricks certification (e.g., Databricks Certified Data Engineer Professional). * Streaming/real-time pipelines (Structured Streaming, Event Hub, Kafka). * ML platform exposure (e.g., MLflow or supporting ML pipelines). * Reporting/consumption layer experience (e.g., Power BI, Purview, Microsoft Fabric). * Knowledge of governance/compliance standards (GDPR, HIPAA, SOC2). ## Description We re partnering with a confidential, enterprise-scale organization to hire a Senior Azure Data Engineer with deep expertise in Azure Databricks to help design, build, and optimize a modern lakehouse data platform. You ll develop scalable ETL/ELT pipelines, implement Medallion (Bronze/Silver/Gold) patterns, and enable advanced analytics in a high-volume environment. This role collaborates closely with data architects, data scientists, business stakeholders, and cloud/infrastructure teams to deliver secure, reliable, high-performance data solutions. What You ll Do * Design and build scalable ETL/ELT pipelines using Azure Databricks (PySpark, Spark SQL). * Develop ingestion workflows from multiple source systems (e.g., Event Hub, APIs, Azure SQL, Blob Storage) into Bronze/Silver/Gold layers. * Implement best practices for Delta Lake and Unity Catalog (schema evolution, versioning, governance). * Optimize pipeline performance and cost through partitioning, caching, clustering, and Spark tuning. * Integrate Databricks with ADLS Gen2, Azure Data Factory (ADF), Azure Synapse, Event Hub, Key Vault, and Azure DevOps. * Implement secure access controls using managed identities, RBAC, and data protection practices (e.g., masking). * Partner with analytics and business teams to deliver trusted datasets, metrics, and KPIs. * Provide technical leadership through mentoring, code reviews, and architectural guidance. * Work with enterprise architecture and security teams to align with data privacy/security policies. * Implement data quality checks, alerting, and lineage tracking using tools such as Great Expectations, Unity Catalog, and data observability platforms. * Build monitoring dashboards, alerts, and recovery mechanisms for critical pipelines. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Best Practices for Using GitHub Secrets](https://www.wearedevelopers.com/videos/1214-best-practices-for-using-github-secrets) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)