Cloud Data Engineer

The Intersect Group; Mason (OH); On-site; USD 120,000 - 150,000; Full time

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.

Skills

Data engineering

SDLC knowledge

SQL proficiency

C# / Python

Analytical thinking

Communication skills

Agile teamwork

Education

Bachelor's degree (CS/Engineering/IS)

Tools

Microsoft SQL Server

Databricks

SSIS

Azure data services

Job description

The Cloud Data Engineer will serve as a key contributor in designing, developing, and optimizing enterprise data solutions. This role owns the full software development lifecycle, including architecture, development, integration testing, deployment, and production support. The ideal candidate is experienced in building scalable data applications, developing high-performance data pipelines, and transforming complex data challenges into reliable production solutions.

This position requires strong technical expertise in cloud data platforms, data architecture, ETL development, analytics solutions, and modern software engineering practices. The successful candidate will demonstrate autonomy, strong problem-solving skills, and the ability to collaborate across technical and business teams.

Key Responsibilities

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

Required Qualifications

• 5+ years of 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 the software development lifecycle (SDLC), including source control and lifecycle management practices.
• Advanced SQL skills with experience designing and developing data warehouse solutions.
• Strong experience with Microsoft SQL Server and Databricks.
• Proficiency in C# and/or Python.
• Experience designing complex data models, database structures, and data manipulation solutions.
• Proven experience developing enterprise‑level ETL pipelines and data integration solutions.
• Experience with SSIS or comparable enterprise ETL tools.
• Experience working with Azure data services, including analytics, databases, storage, and AI/ML services.
• Strong analytical and problem‑solving abilities.
• Excellent communication skills with the ability to support and collaborate with technical and business stakeholders.
• Ability to work effectively in collaborative, agile team environments.

Preferred Qualifications

• Experience with distributed architectures and large‑scale data processing environments.
• Familiarity with statistical programming languages such as R.
• Experience deploying machine learning and AI solutions in cloud environments.
• Knowledge of modern data engineering and cloud architecture patterns.