Senior Data Platform Engineer — AI-Driven, Scalable Pipelines

Highnote; San Francisco (CA); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Flexible PTO

Healthcare coverage

401k program

Parental leave

Equity in Highnote

Home office stipend

Internet reimbursement

Job summary

Highnote, a fast-growing embedded finance company, is seeking a skilled Data Platform Engineer to design and build scalable data platforms and pipelines. You will develop in Java and Python, align data solutions with product and customer needs, and collaborate with internal stakeholders to produce impactful data products.

Join a startup with strong growth, diverse team, and a hybrid SF office. We value hands-on builders who thrive in ambiguity and are excited about AI-driven development and

Qualifications

• 8+ years of experience building high-volume data platforms and pipelines.
• Preferred experience with BigQuery and Snowflake.
• Ability to model and design modern data structures in SQL/NoSQL databases.
• History of writing scalable, performant, maintainable code.
• Experience with Java >= 11 or Python >= 3.7.

Responsibilities

• Build secure, scalable data platforms supporting product and customer needs.
• Write high-quality, well-tested code in Java and Python.
• Understand business/data needs to design right solutions.
• Document work to support scaling of the company.
• Collaborate with stakeholders and tech partners to create data products.

Skills

Data platform design

Java 11 / Python 3.7

SQL/NoSQL data modeling

Distributed streaming tech

BigQuery/Snowflake

AI-powered development tools

Tools

Docker

Kubernetes

GCP

AWS

Pub/Sub

Kafka

Job description

Highnote, a fast-growing embedded finance company, is seeking a skilled Data Platform Engineer to design and build scalable data platforms and pipelines. You will develop in Java and Python, align data solutions with product and customer needs, and collaborate with internal stakeholders to produce impactful data products.

Join a startup with strong growth, diverse team, and a hybrid SF office. We value hands-on builders who thrive in ambiguity and are excited about AI-driven development and