Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
About the role
- Senior Data Engineer building and implementing data pipelines at Headspace. Collaborating with analytics and data science teams to enhance personalized mental health support.
Responsibilities
- Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake
- Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements
- Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics
- Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation
- Support peers and champion a culture that values data as a strategic asset across the organization
Requirements
- 4+ years of proven success designing and implementing large-scale data systems
- Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)
- Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques
- Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake
- Demonstrated expertise in architectural patterns for building high-volume ETL pipelines
- Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation
- Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration
- BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Benefits
- comprehensive healthcare coverage
- monthly wellness stipend
- retirement savings match
- lifetime Headspace membership
- generous parental leave
- stock awards
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