Senior Data Engineer — Build Scalable Data Pipelines

Revel-IT-1; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Revel IT is seeking a Data Engineer in Columbus, OH to build and maintain scalable data pipelines and platforms that enable advanced analytics for clients. You will work with data scientists, consultants, and clients to ensure data is reliable, accessible, and high-quality, supporting impactful decision-making.

Ideal candidates have 3-6 years of data engineering experience, strong Python and SQL skills, and familiarity with Spark, Databricks, and cloud services.

Qualifications

• 3-6 years of experience as a data engineer or a related role.
• Minimum 3.3 GPA degree obtained in Computer Science or a quantitative field.
• Proficiency in one or more programming languages, including Python and SQL.

Responsibilities

• Data Pipeline Development: Design and develop sophisticated data pipelines to import data from internal and external sources and seamlessly integrate into data platforms.
• Development & Testing: Contribute to existing and new data products to ensure they align with ever-changing business requirements. Test systems regularly to confirm their effectiveness and perform troubleshooting when necessary.
• Maintenance & Data Reliability: Ensure systems are well-maintained, enabling uninterrupted access to crucial data. Continuously verify data quality and integrity to support decision making.
• Continuous Improvement & Collaboration: Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies.

Skills

Python

SQL

Data pipeline design

Education

Bachelor's degree in Computer Science or quantitative field

Tools

Spark

Databricks

AWS

Azure

GCP

Airflow

Job description

Revel IT is seeking a Data Engineer in Columbus, OH to build and maintain scalable data pipelines and platforms that enable advanced analytics for clients. You will work with data scientists, consultants, and clients to ensure data is reliable, accessible, and high-quality, supporting impactful decision-making.

Ideal candidates have 3-6 years of data engineering experience, strong Python and SQL skills, and familiarity with Spark, Databricks, and cloud services.