Senior Data Engineer

- Demonstrated experience designing and supporting technology intended to be used by other stakeholders - You are able to design and implement high-quality software in Python - Strong ability to communicate on both business and technology subjects - You have experience provisioning and managing infrastructure with infrastructure-as-code tools (we use Terraform, but experience with similar tools like CloudFormation, Pulumi, or SaltStack is totally fine!) - We care about your abilities, not how you gained them. You might demonstrate the capabilities below through any combination of relevant professional experience, experience in a research setting, formal education, self-guided learning, open source contributions, or public speaking / writing / teaching experience - Experience with Airflow, Luigi, Prefect, or other ETL scheduling tools - Experience using SQL to read and manage data - Experience designing and implementing software (pipelines, services and client libraries) that is run in Docker containers, automatically tested on a continuous integration (CI) system, and versioned in git. You have experience writing shell scripts, Makefiles, or other configuration to glue together these components - Ability to deploy containerized software in Kubernetes, or sufficient experience in similar technologies like Apache Mesos or Amazon ECS - Hands-on experience using multiple data platforms and tools (e.g. Airflow, Hive, Kafka, Postgres, Redshift, S3, Spark, Trino, Airbyte), and…