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# Azure Data Engineer

- **Company:** Apptad Inc.
- **Location:** Fort Worth, TX, United States
- **Salary:** $107,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing Security, Cloud Database, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), SQL Azure, Performance Tuning, Azure Machine Learning, Azure Data Lake, SQL Databases, Unstructured Data, Data Processing, Data Storage Technologies, Azure Data Factory, System Availability, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Api Design, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 4, 2026
- **Apply:** https://www.careerjet.com/jobad/usfa32fc2153a0153d14c92bac2fb812c4

## About the Role

* Strong experience with Microsoft Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake).
 * Proficiency in SQL and Python (or Scala) for data processing and transformation.
 * Hands-on experience with big data technologies such as Spark.
 * Solid understanding of data warehousing concepts and data modeling techniques.
 * Experience in building and optimizing data pipelines and workflows.
 * Knowledge of cloud security, data governance, and performance tuning.

## Description

We are seeking a skilled Azure Data Engineer to design, develop, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience in data engineering, ETL/ELT processes, and cloud-based data services, with the ability to support analytics and business intelligence initiatives., * Design, build, and optimize data pipelines using Azure data services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

 * Develop and maintain ETL/ELT workflows to ingest, transform, and load data from multiple sources into data lakes and data warehouses.
 * Work with structured and unstructured data, ensuring data quality, integrity, and reliability across systems.
 * Implement data storage solutions using Azure Data Lake Storage and Azure SQL Database.
 * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
 * Monitor and troubleshoot data pipelines, ensuring performance optimization and high availability.
 * Implement security, governance, and compliance best practices for data handling on Azure.
 * Automate workflows and deployment processes using CI/CD pipelines and infrastructure-as-code tools., Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will …
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