Staff Data Engineer
Confirmed live in the last 24 hours
Everstream Analytics

201-500 employees

AI-powered global supply chain risk management platform
Company Overview
Everstream Analytics is a leader in global supply chain management, utilizing artificial intelligence and predictive analytics to provide businesses with actionable insights and risk analytics for a more efficient and sustainable supply chain. The company's unique end-to-end risk management platform allows businesses to identify and assess potential disruptions in advance, thereby strengthening every link in the supply chain. With a client base that trusts Everstream to make their supply chains smarter and more autonomous, the company demonstrates its competitive advantage through its ability to deliver value, reduce waste, and streamline processes across even the most complex supply chains.
Data & Analytics
Cybersecurity
AI & Machine Learning

Company Stage

Series B

Total Funding

$151.9M

Founded

2012

Headquarters

San Marcos, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

26%

2 year growth

25%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Apache Spark
AWS
CategoriesNew
Data Engineering
Data & Analytics
Requirements
  • Proven experience in designing and building multi-tenant cloud-native data platforms in a SaaS or PaaS environment.
  • Experience with both relational and graph database technologies in a production environment, Specifically PosgreSQL and Neo4j
  • Strong expertise in AWS services, including Lambda, EMR, S3, Glue, Apache Airflow or similar tools and services.
  • Proficiency in distributed system design, data warehousing, data lakes, and stream processing using Spark or similar.
  • Strong programming skills in Python.
  • Excellent problem-solving and troubleshooting skills.
  • Ability to work collaboratively with cross-functional teams and convey complex technical concepts to non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, related field, or equivalent experience.
Responsibilities
  • Architect, Develop and \