Staff Data Engineer

📋 Description

• Lead design and implementation of scalable data workflows powering data-intensive projects.
• Architect infrastructure; guide implementations across engagements; build reusable frameworks.
• Work at the intersection of data engineering, platform design, and analytics.
• Own project-level architecture; set technical standards and governance.
• Architect end-to-end data pipelines and infra across AWS, GCP, Azure, Snowflake.
• Develop reproducible IaC workflows and data orchestration with Airflow, dbt, Spark.

🎯 Requirements

• 6+ years in data engineering, data infrastructure, or software.
• Python and SQL expertise.
• Experience with Airflow, dbt, Spark, Snowflake, or equivalents.
• Cloud architecture and Infrastructure as Code (Terraform, CloudFormation).
• CI/CD, version control, and containerization (Docker, Kubernetes).
• Excellent collaboration and ability to mentor teammates.
• Bachelor's or advanced degree in CS/Engineering or related field.
• Experience with data governance, lineage, or privacy-preserving techniques.

🎁 Benefits

• Annual 401k contributions and competitive benefits.
• Paid time off and comprehensive leave policies.
• Inclusive culture with diversity and belonging.