Senior Data Engineer

Summary

Join Ontra, a leading AI legal tech company, as a Senior Data Engineer. Reporting to the Senior Manager, Data Engineering, you will play a key role in developing and owning the data engineering roadmap. Collaborate with product and engineering teams to translate requirements into actionable solutions, focusing on rapid iteration and impactful results. This role requires strong data modeling, infrastructure, and communication skills. Ontra offers a remote-first work environment with various benefits, including paid time off, parental leave, retirement contributions, and professional development opportunities.

Requirements

• 5+ years core data engineering experience, including data modeling, data infrastructure, event logging, and infrastructure
• Strong understanding of using SQL and Python to build great data warehouses, with the ability to follow engineering best practices with minimal guidance
• Excellent communication with technical and nontechnical stakeholders, and proactively shares knowledge across functions to generate outcomes
• 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, 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

Preferred Qualifications

Specific technical experience with Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog and AWS

Benefits

• Remote-first working policy, with office hubs in SF, NYC, Santa Barbara, and London
• Twice yearly team offsites for in-person collaboration
• Paid flexible time off policy
• Paid parental leave and benefits
• Employer-supported retirement contributions, varying by country
• Monthly phone and internet reimbursement
• Company-sponsored LinkedIn Learning accounts, department budgets for professional development, and robust onboarding program
• Various options for medical, dental, and vision insurance