Cloud Data Engineer, Business Intelligence

Resurgent Capital Services; Cincinnati (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

Resurgent Capital Services is seeking a Cloud Data Engineer to architect and own our data ecosystem from design to deployment. You will build scalable data warehouse solutions and production ML/AI pipelines while collaborating with business analysts, data scientists, and developers.

You will refine data integration pipelines, implement monitoring, and drive technical roadmaps in an agile setting. A 4-year degree is required, with strong SQL and distributed-system experience enabling data-driven

Qualifications

• 5+ years of hands-on data engineering experience.
• Expert-level SQL and data warehouse design.
• Deep understanding of databases, data structures and data manipulation.
• End-to-end data pipelines for acquisition, cleansing and integration.
• Experience with MS SQL Server; Databricks proficiency.

Responsibilities

• Design and develop data warehouse solutions for executives and data science teams.
• Collaborate with analysts, developers and data scientists to build seamless data solutions.
• Transform data science prototypes into scalable production ML/AI solutions.
• Fine-tune data integration pipelines for efficiency and reliability.
• Develop proactive monitoring tools to track data ecosystem health.
• Own work estimates, roadmaps and implementation plans.
• Research and integrate emerging technologies to stay competitive.
• Follow best practices and clean coding standards in an agile environment.
• Mentor others and grow technical skills.

Skills

Data engineering

SQL

Databricks

C# / Python

MS SQL Server

Data modeling

ETL pipelines

Distributed architecture

SDLC

Team collaboration

Education

Bachelor's degree

Tools

SSIS

Azure

Job description

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.

Roles & 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 productionise 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.

Skills & Qualifications

• 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.

Additional Preferred Skills

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

Educational Requirements

4‑year degree required.

Legal Notice / EEO Statement

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.