Data Engineer II

• Design and develop high-volume data processing pipelines across Redshift, Athena, Iceberg, Spark, and Airflow
• Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
• Contribute to architectural decisions and technical design discussions for new data platform initiatives
• Participate in code reviews and contribute to team standards for data quality, testing, and documentation
• Support and collaborate with data scientists, analysts, product managers, and integrating teams
• Develop jobs, libraries, and operations supporting data scientists and analysts working with connectivity performance data

• Bachelor's degree in Computer Science or related field or equivalent experience
• 5+ year of professional experience in data engineering
• Expertise in SQL and databases (MySQL, Redshift, Athena)
• Experience with data modeling
• Experience with workflow orchestrators such as Dagster, Airflow, or Prefect
• Experience working with Python
• Strong communication skills both in person and via virtual mediums
• Knowledge of ETL/ELT design patterns
• Experience with high volume distributed data processing in Spark
• Experience with AWS cloud services
• Background check required