Software Engineer (Data Platform)
HIGHNOTE, LLC
San Francisco, United States of America
8 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 230KJob location
Remote
San Francisco, United States of America
Tech stack
Clean Code Principles
Java
Amazon Web Services (AWS)
Google BigQuery
Customer Data Management
Data Structures
Data Warehousing
Python
PostgreSQL
NoSQL
SQL Databases
Data Storage Technologies
Snowflake
Data Lake
Cassandra
Data Management
Data Pipelines
Docker
Job description
- The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines
- With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue
- 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
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
- A background in the fin-tech space
- Able to model and design modern data structured in data lakes and data warehouses
Benefits & conditions
- Health, Dental and Vision Insurance
- Flexible PTO
- Parental Leave
- 401k Plan
- Paid Lunch During Work Days
- Work From Home Stipend
- Equity
- Team Events and Offsites