Senior Data Software Engineer
General overview of the project(s)
You want to solve problems you can’t just Google answers for. You want to deal with real big data in real products that real people. You want exposure to cutting edge tech including real machine learning at scale, graph databases, and predictive modeling. And you want it all in a high-growth startup.
Join the close-knit engineer team at Interos that conceptualizes and develops our industry-leading data-driven Interos Knowledge Graph. Hone your skills in an agile, test-driven environment and have a measurable impact on a well-established rapidly expanding business.
At Interos, Senior Data Software Engineers have a deep understanding of Data Modeling, Python fundamentals and architecture. They consistently deliver large features that provide significant value to our customers. Senior Engineers regularly review large sections of our product, making sure things don't ‘fall through the cracks’. They collaborate well with others, seek input from teammates, and provide detailed code reviews.
Assume responsibility for key parts of the Interos Knowledge Graph architecture.
Translate Data Science experimental code into tested, production ready modules
Create connectors for ingesting data from third party databases, APIs, and web sites
Optimize data structures, improve code execution, and reduce memory consumption of existing implementation
Develop JSON APIs
7+ years of experience in Software Development
3+ years of full-time professional Python experience including production experience with data pipelines
A seasoned engineer who enjoys sharing your experience with the team.
Passionate about writing code that is scalable, maintainable, reusable, and well-tested
Interested in building reliable, fault-tolerant, production-grade systems
Feel comfortable debugging large applications and refactoring them to well-tested components and services
Have experience designing, implementing, and maintaining APIs as a service for your team and customers
Comfortable interacting with a range of audiences (technical and business stakeholders)
Have experience in an agile environment
Enjoy optimizing complex data models for comprehension and performance
Bachelor’s degree in Computer Science or closely related field or a foreign equivalent
Comprehensive Health & Wellness package (Medical, Dental and Vision)
10 Paid Holiday Days Off
Accrued Paid Time Off (PTO)
401(k) Employer Matching
Career advancement opportunities
On-site gym and dedicated Peloton room at headquarters
Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)
Annual company party
Employee Referral Program