Staff Data Engineer

Role summary
Finite State is looking for a Staff Data Engineer to join our team. You will play a significant role in optimizing our data architecture and addressing emerging data needs. This role involves both design and implementation, and you’ll play a crucial role in shaping the direction of one of the industry’s leading cybersecurity products. This role reports to the Engineering Manager of the STP team. 
 
You must be based in and authorized to work in the US.
 
Research shows that women and those in underrepresented groups tend to apply only if they meet 100% of the requirements in a job description. If you think you have what it takes, but don’t check off every box - please still get in touch! We’d love to learn more about your experience and what motivates you to see if you’d be a great fit.
 
As a Staff Data Engineer, you will:

 
Develop a deep understanding of Finite State’s data platform
 
Lead the design, building, and optimization of data models and pipelines, while ensuring data quality
 
Lead technical discussions and determine the best methods for storing and accessing different types of data in production
 
Manager day-to-day project activities, proactively anticipating complex issues and blockers, and translating insights into solutions
 
Collaborate with management to strategize and focus on work stream ownership and prioritization 
 
Demonstrate key milestones and maintain excellent communication with stakeholders regardings expectations, updates, and deliverables
 
Work with cross-functional Product Engineering teams supporting data needs for new features
 
Contribute expertise on team practices and processes while suggesting improvements
 
Proactively document your work and share knowledge with the team
 
Participate in the team’s on-call rotation
 
Mentor engineers throughout the engineering department
 
Uphold our core values of transparency, results, accountability, customer dedication, and courage
 
Champion our mission to protect our connected world

 
What we’re looking for:

 
Solid experience designing and constructing new data models and data pipelines
 
Proficiency in multi-model databases (ArangoDB), NoSQL databases (MongoDB), and relational databases with the ability to write performant queries for each.
 
Demonstrated experience building and supporting scalable SaaS products with Python
 
Familiarity with multiple data technologies, such as Spark, Presto, Parquet, Kafka, etc
 
Experience working on a cloud-provider-hosted platform (preferably AWS)
 
Passion for tackling complex, ambiguous problems
 
Excellent communication skills and the ability to collaborate with cross-functional teams, sharing ideas and presenting concepts effectively
 
Experience working in small, fast-paced teams
 
A growth mindset and the ability to mentor and advise engineers across the department

 
It’s a plus if you also have:

 
Background or interest in data science and/or machine learning
 
Experience building or working with cybersecurity products
 
Familiarity with Kubernetes and Helm charts
 
Experience with web application frameworks (preferably React and Node.js)
 
Experience developing on-premise and hybrid cloud Saas Products/Solutions

 
Success path

 
In 30 days you will: Learn the team’s domain and begin exploring current data models and in-flight projects
 
In 60 days you will: Collaborate with engineers on the team and take on tasks within these projects
 
In 90 days you will: Assume responsibility for projects of increasing complexity and start leading the technical direction for these projects

 
What’s in it for you [DO NOT EDIT]

 
Competitive salary with stock option grant
 
Fully covered medical, dental, vision
 
401(k)
 
Unlimited PTO & outstanding parental leave
 
WFH stipend
 
team buildings/retreats once a year
 
Short and long-term disability coverage
 
Life insurance
 
Optional (self-funded) benefits: pet insurance, legal assistance, home, auto & renter’s insurance
 
Employee Assistance Program

 
Tech Stack 

 
Python
 
GraphQL
 
ArangoDB / noSQL / Elasticsearch
 
Typescript
 
React / Next.js
 
Kubernetes
 
AWS
  

   
Athena
   
EKS
   
Glue
   
Lambda
   
RDS
   
S3