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Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap and continue to develop foundational data engineering practices at Ontra. This role will translate other teams' requirements into actionable engineering solutions with a focus on rapid iteration.

Requirements

• 5+ years core data engineering experience, including data modeling, data infrastructure, event logging, and infrastructure.
• Specific technical experience with Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog and AWS are a bonus!
• Strong understanding of using SQL and Python to build great data warehouses, with the ability to follow engineering best practices with minimal guidance
• Looks at data to drive a path forward in technical design of data infrastructure
• Constantly researches new data engineering and driven to grow technically
• Works well in ambiguous situations, excited to identify problems and provide solutions, even when first-order scientific approaches fail

Responsibilities

• Deliver solutions with impact for our product teams and end-users while establishing frameworks to boost efficiency of data teams
• Architect and design strong dimensional models to support our rapidly growing analytics infrastructure
• Build data processing pipelines and infrastructure in support of product, analytics and ML initiatives
• Create a data engineering center of excellence, taking end-to-end ownership of technical initiatives and prioritizing for impact on objectives and key results
• Collaborate cross-functionally to lead data efforts and work proactively with stakeholders to translate data insights into product features

Other

• Requires being present in either our Santa Barbara or San Francisco office up to once a quarter for team meetings and off-sites.
• Currently based in California.
• Excellent communication with technical and nontechnical stakeholders, and proactively shares knowledge across functions to generate outcomes
• Occasional travel is required for Ontra employees, including typically at least twice per year to attend team and larger group off-sites for in-person collaboration.
• Remote-first working policy