We are seeking a Senior Software Engineer, Big Data to join our Enterprise Data Engineering team. As a Senior Software Engineer you will be working on our Data Platform, coding in Python and React and using cutting-edge big data technologies such as Apache Spark, Airflow, Hadoop, and Jupyter to build out data pipelines, data lakes, full-stack applications, and analytics tools that scale on the cloud to empower data scientists to gather insights from billions of data points to improve health outcomes.
We have offices in Santa Barbara, San Mateo, and San Francisco, and are considering candidates for all three offices, as well as remote.
RESPONSIBILITIES
- Design scalable, high performance solutions that continuously handle terabytes of data and enable data scientists to analyze data at scale.
- Understand overall performance, and design around improving data performance using different technologies, algorithm efficiencies and infrastructure architecture.
- Work with customers to understand their needs. Develop and deliver products, that meet the customer’s needs, in a timely manner.
- Implement best practices and provide feedback to team members through peer reviews.
QUALIFICATIONS
Technical Qualifications:
- 4+ years experience object oriented programming with Python or Ruby on Rails
- Experience with SQL databases (e.g., Postgres, MySQL, Redshift) and Distributed Datastores (e.g., S3)
- Experience working with large-scale Saas applications or distributed systems in the cloud (AWS or Google)
Professional Competencies:
- Strong written and verbal communication
- Work effectively in a collaborative and cross-functional team environment
- Take personal responsibility for driving initiatives forward and continually improving the product
- Quality-focus, ensuring proper test coverage for all the code you write
Preferred Qualifications:
- Experience with big data technologies (Spark, Hadoop, Redshift, etc.)
- Experience mentoring engineers
by via developer jobs - Stack Overflow
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