Data Engineer

INA Solution; Columbus (OH); On-site; USD 100,000 - 150,000; Full time

Job summary

INA Solution in Columbus, Ohio seeks an experienced Data Engineer to design and build scalable data pipelines, integrate sources, and deliver reliable data products.

The role emphasizes data quality, collaboration with stakeholders, and hands-on work with Python, SQL, Spark/Databricks, and cloud platforms. You will contribute to cutting-edge data platforms and CI/CD workflows.

Qualifications

• 3–6 years of Data Engineering experience.
• Bachelor’s degree in Computer Science or a quantitative field.
• Strong Python and SQL skills.
• Experience with Spark and/or Databricks.
• Experience with AWS, Azure, or GCP.
• Experience with Airflow or similar orchestration tools.
• Knowledge of Git/version control, CI/CD, and Infrastructure as Code.
• Strong testing, troubleshooting, and data quality skills.
• Excellent communication and teamwork skills.

Responsibilities

• Design and develop scalable data pipelines integrating internal and external data sources.
• Build, test, troubleshoot, and maintain data products and platforms.
• Ensure data quality, reliability, and integrity.
• Collaborate with stakeholders to improve data accessibility and usability.
• Adopt modern data engineering tools and technologies.

Skills

Python

SQL

Cloud Platforms (AWS/Azure/GCP)

Airflow

Git / CI/CD

Data Quality

Communication / Teamwork

Education

Bachelor's degree in Computer Science or quantitative field

Tools

Spark

Databricks

Job description

• Design and develop scalable data pipelines integrating internal and external data sources.
• Build, test, troubleshoot, and maintain data products and platforms.
• Ensure data quality, reliability, and integrity.
• Collaborate with stakeholders to improve data accessibility and usability.
• Adopt modern data engineering tools and technologies.

Required Skills:

• 3–6 years of Data Engineering experience.
• Bachelor’s degree in Computer Science or a quantitative field.
• Strong Python and SQL skills.
• Experience with Spark and/or Databricks.
• Experience with AWS, Azure, or GCP.
• Experience with Airflow or similar orchestration tools.
• Knowledge of Git/version control, CI/CD, and Infrastructure as Code.
• Strong testing, troubleshooting, and data quality skills.
• Excellent communication and teamwork skills.