Responsibilities

• Build, enhance, and maintain data ingestion and transformation pipelines
• Develop and optimize analytics datasets using BigQuery and dbt
• Support and maintain existing data systems as needed to ensure continuity and data reliability
• Design scalable data models that enable trusted analytics and reporting
• Partner with product managers, analysts, and solution teams to translate ambiguous requirements into effective data solutions
• Monitor data quality and system health to ensure accurate, timely insights

Requirements

• Strong experience with SQL and Python
• 3+ years of experience in Data Engineering, preferably on Google Cloud Platform (GCP)
• Experience designing and operating production data pipelines at scale
• Good knowledge of architecture and design (patterns, reliability, scalability, quality) of complex systems
• Familiarity with BigQuery and modern ELT tools (e.g., dbt)
• Experience with AI tools and workflows
• Strong analytical and problem-solving skills
• Clear written and verbal communication skills

Bonus Points

• Experience with Buildkite and Terraform
• Experience with Dataflow on GCP
• Experience with Elasticsearch
• Experience with Kubernetes

Additional Information

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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