Cloud Data Engineer, Business Intelligence

As a Cloud Data Engineer, you will be a key architect of our data ecosystem. You’ll own the full software development lifecycle—from initial design and coding to integration testing and deployment. In this role, you aren’t just maintaining systems; you are building innovative data applications that empower our organization.

• 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 product ionise 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.
• Follow best practices and clean coding standards in an agile environment.
• Mentor others and grow personal technical skillset.

• 5+ years of hands‑on data engineering experience.
• 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; proficiency with Databricks.
• Proficiency in C# and/or Python.
• Familiarity with distributed architecture and modern infrastructure.
• Track record in team‑oriented, collaborative environments.
• Strong interpersonal and communication skills with a focus on delivering excellent support to internal customers.
• Exceptional analytical and problem‑solving skills.
• Comprehensive understanding of the SDLC, including source control and lifecycle management tools.

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

4‑year degree required.

Resurgent Capital Services is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.