Analytics Engineer

• Bachelor’s degree in Computer Science or a related technical field involving coding (e.g. physics or mathematics), or equivalent technical experience.
• 10+ years as a data or analytics engineer, with a focus on a combination of data modeling and engineering.
• In depth experience in designing and implementing scalable and high-performance analytics features.
• Strong proficiency in multiple programming languages, frameworks, and technologies, specifically dbt, SQL, Jinja, BigQuery, cube, and Python.
• Expert knowledge of data architectures, security best practices, and data integration concepts.
• Experience with ETL technologies and data engineering with a focus on building and maintaining data platforms, data pipelines, and data ingestion tools.
• Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow.
• In depth understanding of database concepts, data modeling, and data warehousing principles.
• Strong understanding of distributed data management systems and related applications.
• Familiarity with public cloud infrastructure design, tools, and strategies.
• Experience with software development methodologies including Agile, Kanban, and Scrum
• A growth mindset and excitement for using AI to drive innovation, improve workflows and solve complex problems.
• Collaborative by nature, you value pairing, whiteboarding sessions, and learning from diverse perspectives.
• Passionate about delivering high-quality products that enhance client experiences and drive sustainability in transportation.

Tech:

• Backend: Python, Postgres
• Frontend: Node, React, TypeScript, graphQL
• Cloud & Infrastructure: Google Cloud Platform (GCP), Terraform, Docker
• Data & Analytics: BigQuery, dbt
• Monitoring & Observability: GCP Monitoring