Senior Cloud Data Engineer: Build Scalable Pipelines & AI

The Intersect Group

Mason (OH)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

The Intersect Group is seeking a Cloud Data Engineer to design, develop, and optimize enterprise data solutions. You will own the full software development lifecycle, building scalable data pipelines and data warehouses for analytics and data science initiatives.

Ideal candidates bring 5+ years in data engineering, strong SQL, and experience with Azure data services, Databricks, and SSIS. Collaboration across business and technical teams is essential, with opportunities to mentor colleagues and

Qualifications

5+ years hands-on experience in data engineering or related software development roles.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
Strong understanding of SDLC, including source control and lifecycle management.
Advanced SQL skills with experience designing and developing data warehouse solutions.
Experience with Microsoft SQL Server and Databricks.
Proficiency in C# and/or Python.
Experience designing complex data models and ETL pipelines.
Experience with SSIS or comparable tools.
Experience with Azure data services (analytics, databases, storage, AI/ML).
Strong analytical and problem-solving abilities.
Excellent communication with technical and business stakeholders.
Ability to work in collaborative, agile teams.

Responsibilities

Design, develop, test, and deploy scalable data applications and solutions.
Own the full SDLC including coding, source control, testing, deployment, and lifecycle management.
Develop and optimize enterprise data pipelines for acquisition, cleansing, transformation, and integration.
Build and maintain enterprise data warehouse solutions for analytics and data science.
Transform ML/AI prototypes into production-ready solutions.
Develop proactive monitoring to maintain health and performance of data platforms.
Optimize data integration processes for efficiency and scalability.
Create technical roadmaps, project estimates, and implementation strategies.
Research and implement emerging technologies and best practices.
Follow agile methodologies and clean coding standards.
Collaborate with analysts, developers, data scientists, and cross-functional teams.
Mentor team members and contribute to technical growth across the organization.