Remote Senior Data Engineer

Description:

• Design and scale data pipelines and machine learning infrastructure for Keebo's platform.
• Collaborate with product and machine learning engineers to transform customer data into actionable models and features.

Requirements:

• 5+ years of data engineering or software engineering experience, preferably in early-stage startups.
• Proficient in building and scaling production data pipelines using orchestration tools like Dagster, Airflow, or Temporal.
• Hands-on experience with machine learning operations, including model deployment and monitoring.
• Strong data modeling skills and ability to maintain data quality.
• Experience with AI coding agents and scaling their use across teams.
• Expertise in SQL and Python, with knowledge of cloud platforms and automated deployment pipelines.

Benefits:

• Competitive salary ($170,000 to $200,000) plus equity.
• Fully remote work with flexible hours aligned to US Eastern Time.
• Comprehensive medical, dental, and vision benefits.
• 401(k) retirement program and home office stipend.
• Paid time off and parental leave.