Sr. Data Engineer - W2 Position

Location-Remote

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, ServiceNow, Control-M, or equivalent engineering and delivery tools.

AI-assisted development, agentic workflows, and modern data product architectures.