Full-Time Senior Data Engineer

• 5+ years of experience working in data engineering
• Expertise in using both SQL and Python for data cleansing, transformation, modeling, pipelining, etc.
• Proficiency in working with high volume datasets in SQL-based warehouses such as BigQuery, Redshift, Snowflake, or others, preferably using ELT tools like Dataform or dbt
• Experience with parallelized data processing frameworks such as Google Dataflow, Apache Spark, etc.
• Proficiency in working with other stakeholders and converting requirements into detailed technical specifications; owning projects from inception to completion
• Deep understanding of data modeling, access, storage, caching, replication, and optimization techniques
• Ability to orchestrate data pipelines through tools such as Apache Airflow
• Experienced in container and pod orchestration (e.g. Docker, Kubernetes)Understanding of the software development lifecycle and CI/CD
• Monitoring and metrics-gathering (e.g. Datadog, NewRelic, Cloudwatch, etc)
• Proficiency with git and working collaboratively in a shared codebase
• Willingness to participate in an on-call support rotation - currently the rotation is monthly
• Self motivation and a deep sense of pride in your workPassion for the outdoors
• Comfort with ambiguity, and an instinct for moving quickly
• Humility, empathy and open-mindedness - no egos

Requirements:

• Proficient in working with other stakeholders and converting requirements into detailed technical specifications; owning projects from inception to completion
• Expertise both in using SQL and Python for data cleansing, transformation, modeling, pipelining, etc.
• Proficiency in working with high volume datasets in SQL-based warehouses such as BigQuery, Redshift, Snowflake, or others, preferably using ELT tools like Dataform or dbt
• Experience with parallelized data processing frameworks such as Google Dataflow, Apache Spark, etc.
• Deep understanding of data modeling, access, storage, caching, replication, and optimization techniques
• Ability to orchestrate data pipelines through tools such as Apache Airflow
• Experienced in container and pod orchestration (e.g. Docker, Kubernetes)
• Understanding of the software development lifecycle and CI/CD
• Monitoring and metrics-gathering (e.g. Datadog, NewRelic, Cloudwatch, etc)
• Willingness to participate in an on-call support rotation - currently the rotation is monthly
• Proficiency with git and working collaboratively in a shared codebase
• Excellent documentation skills
• Self motivation and a deep sense of pride in your work
• Passion for the outdoors
• Comfort with ambiguity, and an instinct for moving quickly
• Humility, empathy and open-mindedness - no egos