Data Engineer

The Data Engineer V leads the design, development, and optimization of scalable data pipelines and analytics platforms. This role partners closely with product, analytics, and engineering teams to deliver high-quality, reliable data solutions that drive business insights.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Databricks and Spark • Design and maintain processes to integrate and transform source data into curated, analytics-ready data layers • Collaborate with product, analytics, and engineering teams to translate business needs into data solutions • Maintain data documentation including data dictionaries and lineage • Work with SQL Server, including querying and managing data • Leverage AI-enabled tools and analytics to enhance decision-making, improve efficiency, and drive measurable business outcomes when appropriate. • Apply sound judgment and ethical standards when using AI, ensuring accuracy, data privacy, and responsible human-in-the-loop oversight. • Other duties as assigned

Required Qualifications

• Proficient programming / scripting in Python, SQL • Proficiency in cloud data platforms (Azure preferred) • Experience building data pipelines that ingest, transform, and load source data into curated data models • Experience with data pipeline orchestration and workflow tools • Strong working knowledge of Git-based version control workflows • Strong proficiency in SQL Server including query optimization and performance tuning…