Staff Data Engineer

📋 Description

• Design and implement scalable batch and streaming data pipelines and architectures that support
• Define standards for data modeling, data product design, and pipeline orchestration using modern
• Collaborate with cross-functional stakeholders to translate business and analytical requirements
• Drive Engineering Best Practices
• Establish and enforce engineering best practices around code quality, testing, documentation, and
• Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and

🎯 Requirements

• 8+ years of experience in data engineering or a related field, with a focus on building scalable
• Strong expertise in modern data tools and frameworks such as Spark, Airflow, Kafka, Databricks, and
• Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming
• Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Demonstrated experience owning complex technical systems end-to-end, from design through production
• Excellent communication skills with the ability to explain technical concepts to both technical and

🎁 Benefits

• Health, vision, and dental insurance
• Paid time off (PTO) and sick leave
• Annual bonus and long-term incentive opportunities
• 401(k) with up to a 5% match
• Commuter benefits
• Pet insurance