Senior Data Engineer (Databricks, GCP, AWS)

Senior Data Engineer - Enterprise Data Platforms job description. We are looking for a hands-on senior engineering role to design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly.

Requirements

• Strong Python and SQL
• Deep experience with Spark and modern data platforms (Databricks / Snowflake)
• Solid grasp of cloud data services (AWS or GCP)
• Data Platform Experience: Built and operated large-scale data pipelines in production
• Strong data modelling capability and architectural judgement
• Comfortable with multiple storage technologies and formats
• Infrastructure-as-code experience (Terraform, Pulumi)
• CI/CD pipelines using tools like GitHub Actions, ArgoCD
• Data testing and quality frameworks (dbt, Great Expectations, Soda)
• Experience in consulting or professional services environments
• Comfortable working in agile teams
• Able to engage stakeholders and drive outcomes, not just ship code

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance