Data Engineer

Build and optimize robust data pipelines using a blend of modern programming and traditional enterprise tools including C#, Python, SSIS, and Microsoft SQL Server versions 2019 through 2025. Design and implement custom data warehouse solutions and data structures to ensure high data availability, cleansing, and seamless integration for downstream business consumption. Collaborate closely with the data science team to integrate their R-based models and prototypes into reliable production workflows. Work closely with an established team of eight data engineers, a principal engineer, and external consultants to manage existing systems while selectively leveraging Databricks for cloud data processing. Participate actively in a collaborative agile environment by contributing to work estimates, following clean coding practices, and maintaining comprehensive documentation. What we’re looking for Proven experience designing production‑grade data pipelines, custom data models, and enterprise data warehouse solutions Extensive hands‑on experience working with Microsoft SQL Server platforms, specifically versions 19, 22, and 25, alongside building complex ETL processes with SSIS Solid proficiency writing and debugging code in both C# and Python, paired with the ability to interface effectively with data science outputs Familiarity with Databricks environments to effectively support evolving cloud and big data initiatives A team‑oriented mindset with excellent problem‑solving skills, comfortable working in a hybrid environment requiring three days in‑office and two days remote Comfort navigating software development lifecycles and source control, along with a readiness to complete a programmer aptitude test as part of the evaluation process A desire to grow with AI as it relates to data warehousing and data engineering #J-18808-Ljbffr