Senior Data Platform Engineer (Remote)

Weave

Lehi (UT)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Weave is seeking engineers who thrive on fun challenges and want to contribute in both technical and non-technical ways. Join a team focused on distributed backend systems, data, scalability, and making data more available and easier to discover and use.

You will join cross-functional, autonomous teams with product owners, backend/frontend devs, and DevOps. The Data Platform Team empowers developers to build data-intensive applications, handling thousands of customers daily while emphasizing

Qualifications

  • 3+ years of backend experience in Go, Java or Python.
  • Experience with distributed systems and scalable services.
  • Familiarity with data storage and NoSQL technologies.
  • Experience building solutions on public clouds (AWS, GCP).
  • Strong collaboration and communication skills.

Responsibilities

  • Design and develop core data platform components for business workflows.
  • Build scalable, resilient services for data integration and event processing.
  • Contribute to product functionality for large data and traffic.
  • Write high-quality, testable code and uphold code quality.
  • Collaborate with teammates and stakeholders to translate goals into engineering plans.
  • Work in a hybrid cloud setup with distributed components and services.
  • Translate product goals into actionable engineering plans.

Skills

Backend dev
Distributed systems
Go/Java/Python
Cloud experience
Collaboration

Tools

Kafka
PubSub
Bigtable
Spanner
S3
Iceberg
Vertica

Job description

Weave is seeking engineers who thrive on fun challenges and want to contribute in both technical and non-technical ways. Join a team focused on distributed backend systems, data, scalability, and making data more available and easier to discover and use.

You will join cross-functional, autonomous teams with product owners, backend/frontend devs, and DevOps. The Data Platform Team empowers developers to build data-intensive applications, handling thousands of customers daily while emphasizing

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