Data Engineer

📋 Description

• Build, maintain, test, and support moderate-complexity ETL/ELT pipelines, transformations, and data
• Own defined pipeline components from implementation through testing, deployment, documentation, and
• Troubleshoot pipeline failures, data quality issues, and performance problems; identify root causes
• Contribute to component-level technical designs, estimates, and implementation plans while
• Apply team practices for data modeling, testing, code review, observability, security, source
• Monitor pipeline performance and reliability, surface risks and blockers early, and identify

🎯 Requirements

• 2+ years of Data Engineering, Software Engineering, or related experience building and supporting
• Proficiency in Python and SQL, with hands-on experience developing and maintaining production data
• Experience with Apache Spark/PySpark or equivalent distributed data processing technologies.
• Experience with cloud platforms such as AWS, Azure, or GCP and modern data platforms such as
• Experience with workflow orchestration technologies such as Airflow, Argo, or equivalent platforms.
• Working knowledge of relational databases, data modeling, testing, code review, observability

🎁 Benefits

• Comprehensive benefits package including medical, dental, and vision coverage
• Unlimited paid time off
• Participation in the company's 401(k) plan with employer contribution
• Eligibility for company bonus or commission plan based on position