Highnote is looking to build modern scalable, secure and reliable data platforms and data pipelines to serve product/customer data needs, improve operational efficiency and increase revenue.
Requirements
- 8+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis, etc., and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes, etc.
- Preferred experience with BigQuery and Snowflake
- Able to model and design modern data structures in SQL/NoSQL databases
- A history of writing scalable, performant and maintainable code
- Experience with Java >= 11 or Python >= 3.7
- Experience with cloud platforms such as GCP or AWS
- Docker and Kubernetes
Responsibilities
- Building secure and scalable data platforms that support our product/customer needs and power data driven decision making.
- Writing high quality and robustly tested code, mostly in Java and Python.
- Understanding business/data needs and growth to build the right solutions.
- Documenting your work to support our rapidly-scaling company.
- Interfacing with internal business stakeholders and technology partners to support day to day operations and create new data products.
Other
- We are looking for builders who thrive in ambiguity.
- Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team.
- We invite people from all backgrounds and identities to apply.
- Please note that positions located in San Francisco are hybrid and include core working days of Tuesday, Wednesday, Thursday in office.
- We provide flexible work options based on distance from our downtown SF office.
