Data Engineer

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

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and platforms supporting advanced analytics and business decision-making. The ideal candidate will have strong Python and SQL skills, cloud experience, and expertise in building reliable, high-performance data solutions.

Key Requirements

• 3–6 years of Data Engineering experience.
• LLMS
• AI agents
• Bachelor's degree in Computer Science or a quantitative field (minimum 2:1 or equivalent), preferably from a top-ranked university.
• 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.