Senior Data Engineer I
Core
Design, build, and scale data platforms and processing frameworks powering analytics, AI-driven applications, and business intelligence.
Role type
Senior Data Engineer
Builds
Scalable data platforms, high-performance pipelines, analytics-ready models, and backend services/APIs.
Domain
Cloud data engineering, AI/ML data infrastructure, delivery platform.
Deliverable
production ML models | product features | infrastructure
Required skills
scalable distributed data systems, GCP (BigQuery), ETL/ELT pipelines, data modeling, SQL, Python or Java, CI/CD, Terraform, Airflow, dbt, Looker.
Preferred skills
AI-enabled data use cases, LLM integrations, Master's degree, relevant certifications.
Technologies
BigQuery, GCP, Python, Java, Airflow, dbt, Looker, Terraform.
Responsibilities
Design and implement scalable data platforms and architectures; Build and maintain high-performance data pipelines and data models; Optimize datasets and workloads for performance and cost efficiency; Develop analytics-ready data models, semantic layers, and governed metrics; Build backend services and APIs to support data applications; Improve system reliability by addressing technical debt and scaling challenges.
Seniority
Senior, hands-on IC
