Staff Data Engineer, Order

• You have a strong leadership mindset and are motivated by accountability
• You are results-oriented
• You love helping people in your team grow and improve
• Writing tests is an integral part of your development process
• You know how to design and build software incrementally
• Rallying people around achieving a goal comes naturally to you
• You are collaborative, open-minded, and looking to continue to develop your craft
• You can demonstrate expertise using Python and SQL
• You have hands-on experience with data orchestration tools (preferably Airflow, Dagster, AWS Step Functions)
• You have a proven track record of implementing AWS cloud services (specifically Lambda, SQS, ECS)
• Your skills include hands-on experience with infrastructure as code (preferably Terraform)
• You have worked with big data platforms in production (preferably Spark/PySpark, AWS Glue and EMR)
• Knowledge of data lake tools on AWS (specifically S3, Glue Catalog, and LakeFormation
• You understand how to implement and use business intelligence and data visualization tools (preferably Metabase or Tableau)
• You have an understanding of CI/CD and supporting tools like GitHub Actions and CircleCI
• You have a strong understanding data security and experience protecting data

Desirable

• As a staff data engineer, you will take the lead in designing, building, and maintaining our data infrastructure
• Your expertise in data modeling, ETL pipelines, and data warehousing will enable data-driven decision making throughout the organization
• You will empower the data analysts and scientists on your team to deliver valuable insights that impact business outcomes.
• Contribute to the data roadmap and OKRs, ensuring data infrastructure initiatives are identified, prioritized and delivered
• Plan epics, ensuring they are appropriately broken down, prioritized, and well understood by the team
• Design and build simple services and systems with a focus on iterative development, reliability, and minimizing the cost of future changes
• Continually optimize the data architecture to provide a reliable and adaptive infrastructure that scales with the business
• Support the current data pipelines and build new integrations based on the business needs
• Develop and implement monitoring processes
• Deploy and monitor products on cloud platforms
• Strive for continuous learning and improvement for yourself and your team, providing technical mentorship wherever possible
• Participate in rotating on-call duties, including incident management