Azure Data Engineer

Job Title: Azure Data Engineer / Senior Data Engineer Consultant

Job Location: RemoteJob Duration : 6 month(s)+ (Contract)

Employment Type: W-2 Only

Detailed Job Description: Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products. The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery.

Core Responsibilities: Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python. Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices. Translate business requirements into production-ready technical solutions, delivering from design through deployment and support. Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability. Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes. Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders. Comfortable using AI to develop using specs - design, code, build, and review production grade pipelines. Required Technical Skills Platforms Snowflake; Azure Data Factory; Azure Data Lake Storage Engineering Advanced SQL; Python; ETL/ELT; pipeline orchestration Architecture Data warehousing; dimensional modeling; medallion architecture Operations Performance tuning; data quality; observability; production support Delivery Git; CI/CD; automated testing. Agile delivery Experience and Delivery Profile 10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products. Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision. Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment. Demonstrated focus on automation, scalability, maintainability, and measurable business value. Preferred Experience Power BI, semantic modeling, or analytics enablement. Jira, Azure DevOps, Service Now, Control-M, or equivalent engineering and delivery tools. AI-assisted development, agentic workflows, and modern data product architectures. Commercial, customer, quality, field-service, or operational reporting data products.