• 5+ years experience in data engineering including experience with Python, SQL, or Kotlin
• Experience building scalable and fault tolerant data pipelines with data originating from 3rd party API’s for batch and real-time use cases
• Expertise with any of ETL schedulers such as Airflow (preferred), Dagster, Prefect or similar frameworks
• Experience with cloud architecture (preferably AWS) and technologies including S3, SQS, RDS, EMR, Glue, Athena, and Lambda
• Experience working with data warehouses: snowflake (preferred), redshift, or google bigquery
• Experience building CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins
• Familiarity with microservices architecture and cloud data lake implementations
• Excellent communication skills, both oral and written, with a demonstrated ability to effectively collaborate with cross-functional teams

Desirable

• Perchwell’s mission is to become the fastest growing MLS workflow and data platform in the country
• With that, data is core to what Perchwell represents, and we are looking for a Senior Data Engineer to take charge of our data engineering initiatives, from building a data lake and warehouse solution to scaling our existing data infrastructure to onboard several new MLSes in the coming months
• As a senior data engineer, you’ll be collaborating with cross-functional teams including Data Insights, Product, Design, and other engineering teams to build robust data solutions that help Perchwell become the best-in-class MLS workflow and data platform
• We’re a small but growing team and as a foundational member you’ll have the opportunity to shape the standards, culture, and values of the data engineering team
• Build out ETL tooling and data pipelines, consuming data into our system from 3rd party data sources and APIs
• Design and implement automated data governance measures to improve data quality and observability
• Build out team processes and culture around ownership and accountability
• Partner with Data Analyst team that will act as partner team to conduct analysis, dashboards, and quality assessments