Cloud Data Engineer: Data Warehouse & AI Pipelines

Resurgent Capital Services

Cincinnati (OH)

On-site

USD 110,000 - 170,000

Full time

14 days+

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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

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

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