Data Architect

Palo Alto, California
Engineering – Engineering /
Full Time /
We are One Concern, a startup based in Palo Alto. We specialize in Artificial Intelligence for Disasters. Our platform empowers the most critical decisions during the first moments of a crisis.

With our team of global disaster scientists and engineers, we have built a product which help disaster and emergency rescue teams prepare and react.

One Concern is growing rapidly and we are looking for passionate, motivated, and ambitious engineers to join our team. Our engineering challenges are unique, so you should be comfortable in uncharted territory and excited to create systems that can support cities of 100,000 and 10 million people alike.

We are committed to a workplace that reflects the community we serve. We especially encourage women, people of color, and others who are underrepresented in the tech industry to apply.

You will be responsible for monitoring and administrating databases for optimal performance and data integrity.  You will provide insight into architecting data pipeline solutions, changing database storage and utilization requirements for your fellow engineers and data scientists. Your focus will be to build robust data solutions and building APIs both internal and external with an eye on the present, the future and the path between. 

Requirements

    • 5+ experience architecting, building and managing complex data pipelines
    • 3+ years in corporate Data Engineering or relevant experience 
    • Strong knowledge of databases, both SQL and NoSQL, and their performance issues
    • Proficient in RDBMS: MySQL or PostgreSQL
    • Proficient in NoSQL: MongoDB, Cassandra or Amazon DynamoDB
    • Ability to solve problems that span multiple interconnected systems
    • Strong understanding of system performance and scaling
    • Tested architected components for usability, functionality and performance
    • Experience with really large datasets that require real time analysis
    • Ability to thrive in a fast-paced environment

Bonus Points if You Have

    • BS/MS in Computer Science, Software Engineering, Computer Engineering or relevant education 
    • Experience building and productionizing innovative end-to-end Machine Learning systems
    • Experience in building ETL pipelines
    • Knowledge of Amazon Web Services
    • Experience with Spark
    • Experience working with web frameworks like Ruby on Rails, Node.JS or Flask
    • Familiarity working Javascript API, Data Extract API. 

Perks and Benefits

    • Market-competitive salary plus equity
    • Comprehensive medical, dental, and vision insurance
    • Daily lunches, and a fully-stocked kitchen
    • Generous PTO policy
    • Team off-sites
    • Flexible working hours