Cloud Data Engineer

About the role

As a key architect of our data ecosystem, you will own the full software development lifecycle—from initial design and coding to integration testing and deployment. You’ll build innovative data applications that empower our organization, turning complex data challenges into high-performance production solutions. This position reports to the Vice President of Enterprise Data Engineering.

Responsibilities

• Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
• Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
• Transform data science prototypes into scalable, reliable production ML and AI solutions.
• Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
• Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
• Take ownership of work estimates, technical roadmaps, and implementation plans.
• Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
• Thrive in an agile environment, following best practices and clean coding standards.
• Actively grow your personal technical skillset while mentoring others to elevate the entire team.

Requirements

• 5+ years of hands-on experience in data engineering.
• Strong experience designing data warehouse solutions with expert-level SQL knowledge.
• Deep understanding of databases, data structures, and complex data manipulation.
• Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
• Deep experience with Microsoft SQL Server and proficiency with Databricks.
• Proficiency in C# and/or Python.
• Familiarity with distributed architecture is a significant plus.
• Track record of success in team-oriented, collaborative environments.
• Strong interpersonal skills with a focus on delivering excellent support to internal customers.
• Exceptional analytical skills and a passion for tackling complex technical puzzles.
• Comprehensive understanding of the SDLC, including source control and lifecycle management tools.
• 4-year degree required.

Preferred Skills

• Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
• Experience with SSIS or equivalent enterprise ETL tools.
• Familiarity with R.