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Data Engineer II
Skills
Amazon RedshiftAmazon Web ServicesAnalyticsCode ReviewData EngineeringData PipelinesData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years of experience designing developing and deploying data pipelines and data warehouse solutions in production environments
- Strong proficiency in SQL and Python for data engineering and transformation work
- Hands-on experience with cloud data warehouses such as Amazon Redshift Snowflake or BigQuery
- Familiarity with ETL and ELT tools such as dbt Matillion or similar
- Working knowledge of AWS services relevant to data engineering including S3 Glue Lambda and Redshift
- Demonstrated understanding of HIPAA compliance requirements and experience working with sensitive or regulated data
- Ability to design and build data systems that are scalable observable and built to handle growth
- Strong understanding of data integration patterns including APIs webhooks and batch ingestion techniques
- Experience giving and receiving structured feedback through pull request reviews and technical discussions
- Strong communication skills for technical and non-technical stakeholders
- Comfortable operating in a fast-paced startup environment and making sound tradeoffs
Nice to have
- Healthcare data experience
- Detail oriented
- Constructive collaborator
- Root cause thinker
- Mission driven
Day to day
- Design and maintain scalable ETL and ELT pipelines that power clinical and operational decision-making
- Build resilient data infrastructure with Python SQL dbt Matillion and AWS services
- Contribute to data warehouse and data lake architecture while improving quality monitoring performance and reliability
- Partner with analytics business intelligence data science and engineering teams to deliver trusted self-service data