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. We value autonomy and judgment, looking for a professional with 5+ years of experience who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering., Architect Impact: 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. * Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions. * Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions. * Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability. * Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem. * Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans. * Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive. * Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards. * Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.

Experience: 5+ years of hands-on experience in data engineering. * SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge. * Data Architecture: Deep understanding of databases, data structures, and complex data manipulation. * Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration. * The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks. * Coding: Proficiency in C# and/or Python. * Modern Infrastructure: Familiarity with distributed architecture is a significant plus. * Collaborative Mindset: A track record of success in team-oriented, collaborative environments. * Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers. * Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles. * Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.

Additional Preferred Skills

Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services. * ETL Tools: Experience with SSIS or equivalent enterprise ETL tools. * Statistical Languages: Familiarity with R.

Educational Requirements

• 4-year degree required

Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!