Cloud Data Engineer for AI-Driven Analytics & Pipelines

INA Solution; Columbus (OH); On-site; USD 90,000 - 140,000; Full time

Job summary

INA Solution is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and platforms supporting advanced analytics and business decision-making. The role emphasizes Python and SQL proficiency, cloud experience, and building reliable, high-performance data solutions.

3–6 years of data engineering experience is expected, with a Bachelor's in CS or quantitative field. Familiarity with AWS/Azure/GCP, Airflow, CI/CD, IaC, and strong communication skills are

Qualifications

• 3–6 years of Data Engineering experience.
• Bachelor's degree in Computer Science or a quantitative field (minimum 2:1 or equivalent).
• Strong programming experience in Python and SQL.
• Experience with Spark, Databricks, or distributed computing.
• Knowledge of AWS, Azure, or GCP.
• Experience with Airflow or other orchestration tools.
• Familiarity with CI/CD, version control, and Infrastructure as Code.
• Strong data pipeline development, testing, and troubleshooting skills.
• Excellent communication, problem-solving, and collaboration skills.
• Financial services, risk management, or consulting experience is a plus.

Skills

Python

SQL

Communication

Collaboration

Analytical thinking

Education

Bachelor's degree in CS or quantitative field

Tools

Spark

Databricks

Airflow

CI/CD

Infrastructure as Code

Version control

Job description

INA Solution is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and platforms supporting advanced analytics and business decision-making. The role emphasizes Python and SQL proficiency, cloud experience, and building reliable, high-performance data solutions.

3–6 years of data engineering experience is expected, with a Bachelor's in CS or quantitative field. Familiarity with AWS/Azure/GCP, Airflow, CI/CD, IaC, and strong communication skills are