Senior Data Engineer

Senior Data Engineer Databricks Azure

My name is Bill Stevens, and I have a new full-time Senior Data Engineer opportunity available for a major firm located in Harrison, New York in Westchester County that could be of interest to you, please review my specification below and I am available at any time to speak with you so please feel free to call me. The work week schedule will be hybrid, three days a week in the office and two days remote.

The ideal candidate should also possess a green card or be of citizenship. No Visa entanglements and no H1-B holding company submittals. All third-party resumes will not be reviewed.

This position will be paying a competitive fulltime salary and a comprehensive benefits package.

Responsibilities

As a Senior Data Engineer for the firm, you will own the design and delivery of complex data engineering solutions that power enterprise analytics, AI, and reporting capabilities. Reporting to the Lead Data Engineer, you will drive technical decisions, set engineering standards, and ensure the reliability and scalability of data platform across more than thirty integrated enterprise source systems.

This role requires technical mastery in SQL, Python, and Azure cloud data engineering, combined with a product orientation along with an understanding how the data assets that are built translate into decisions, reports, and AI outputs for the business. You will mentor Data Engineers, contribute to architectural direction, and serve as a technical anchor for delivery across the team's sprint cycles.

Education:

Bachelor's degree in computer science, Data Science, Information Technology, or a related quantitative field.

Experience:

More than six years of progressive experience in data engineering with demonstrated ownership of complex, production-grade data platforms.

Expert-level SQL (query optimization, indexing strategy, execution plans) and Python (PySpark, pipeline frameworks, testing).

Deep hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage.

Proven experience designing dimensional data models and data lake architecture at enterprise scale.

Experience building data pipelines that directly support machine learning feature engineering and model serving.

Strong background in data quality engineering including automated validation, SLA enforcement, and lineage tracking.

Experience with relational databases (SQL Server, Oracle) and migration from legacy to cloud-native platforms.

Certifications & Licenses:

Microsoft Certified: Azure Data Engineer Associate

Databricks Certified Associate Developer for Apache Spark

The interview process will include an initial phone or virtual interview screening.

Please let me know your interest in this position, availability to interview and start for this position along with a copy of your recent resume or please feel free to call me at any time with any questions.

Regards

Bill Stevens

Senior Technical Recruiter

PRI Technology

Denville, New Jersey 07834

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