Data Engineer

Required

• 5+ years of Data Engineering or closely related experience designing, building, and operating production data systems; bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Advanced SQL skills and strong proficiency in Python or a similar programming language for data processing, automation, and production engineering.
• Strong experience with a modern cloud data warehouse such as Snowflake and cloud infrastructure such as AWS, including performance, reliability, and cost considerations.
• Deep experience with ETL/ELT, orchestration, schema design, and data modeling using tools such as dbt, Airflow, or similar technologies.
• Strong understanding of batch and real-time data architectures, including streaming and change data capture (CDC) technologies and their operational tradeoffs.
• Demonstrated experience designing data quality controls, testing frameworks, monitoring, observability, and production support practices for critical data pipelines.
• Strong working knowledge of Git-based development, CI/CD, automated testing, and modern software engineering practices for data systems.
• Demonstrated ability to independently solve complex and ambiguous technical problems, exercise sound judgment, and communicate tradeoffs and recommendations to senior technical and business stakeholders.