Hybrid Data Engineer: Platform & Analytics Lead

Early Warning; San Francisco (CA); Hybrid; USD 174,000 - 223,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Paid time off

Parental leave

Maven family planning

Job summary

Early Warning is seeking a senior engineer to lead development, test, and deployment of complex data solutions. You will drive data architecture, prototyping, and production delivery while collaborating with product teams to build scalable features.

The role emphasizes ownership of critical systems, cross-functional leadership, and advancing data standards within a cloud-based SaaS environment.

Qualifications

• Bachelor’s degree in computer science or related technical field.
• Typically eight or more years of relevant related experience.
• Seven or more years of experience in development of complex data platforms, distributed systems, SaaS, cloud solutions, microservices.

Responsibilities

• Build data strategy for broad or complex requirements beyond the direct team.
• Drive architectural decisions and evaluation criteria for projects.
• Lead the design, prototyping and implementation of data solutions.
• Own features and systems long-term health and health of surrounding systems.
• Collaborate with product managers and designers to build new features.

Skills

Data platform design

Distributed systems

SaaS architecture

Python

SQL

Machine Learning/AI

Cloud infrastructure

Cross-functional collaboration

Education

Bachelor’s degree in CS or related field

Tools

IBM Infosphere

Kafka

Spark / PySpark

Elasticsearch

Job description

Early Warning is seeking a senior engineer to lead development, test, and deployment of complex data solutions. You will drive data architecture, prototyping, and production delivery while collaborating with product teams to build scalable features.

The role emphasizes ownership of critical systems, cross-functional leadership, and advancing data standards within a cloud-based SaaS environment.