Backend Engineer, Knoetic
$200-240k
People analytics platform for CPOs
Job no longer available
People analytics platform for CPOs
201-500 employees
Job no longer available
$200-240k
201-500 employees
Company mission
To empower the next generation of CPOs and People leaders with the right information at the right time.
Role
Who you are
- BS degree in Computer Science or equivalent practical experience
- 7+ years of experience in a world-class data engineering environment
- Data engineering or integrations experience
- Demonstrated comfort building applications using our backend tech stack (Go, AWS, Kubernetes, SQL, NodeJS)
- You pride yourself on being able to identify and address issues before they become problems, and are skilled at finding signals in the noise
What the job involves
- Design, develop, and maintain scalable and robust data infrastructure and pipelines to support Knoetic Analytics
- Collaborate closely with engineers, product teams, and customers to define data requirements for new and existing Analytics offerings, and translate them into efficient data processing and transformation workflows
- Implement best practices in data modeling, capture, quality, and governance to ensure the integrity, consistency, and security of our data assets
- Optimize and monitor our data infrastructure and pipelines for performance, throughput, and reliability, proactively identifying and addressing bottlenecks and other issues
- Stay current with the latest trends and technologies, continuously seeking opportunities to innovate and improve our data infrastructure
- Onboard and learn more about Knoetic’s mission, culture, and values. You’ll write a User Manual and a Professional Development Plan outlining exactly how you want to grow professionally over the next 1-2 years
- Understand Knoetic's tech infrastructure in-depth
- Review existing ELT data pipelines and their integration with our partner APIs to identify areas for improvement and potential optimizations
- Deploy your first Pull Request to production
- Work closely with cross-functional teams to understand customer needs and define data requirements for new and existing workforce analytics, such as compensation, DEIB, spans of control, and attrition - and translate them into efficient data processing and transformation workflows
- Design, develop, and maintain scalable and robust ELT data pipelines to support Knoetic Analytics
- Implement best practices in data modeling, data quality, and data governance, ensuring the integrity, consistency, and security of our data assets, while complying with data privacy regulations (PII)
- Monitor and begin to optimize data pipelines for performance, throughput, and reliability, addressing bottlenecks and other issues to enhance the customer experience
- Continuously innovate and improve our data infrastructure by staying current with the latest trends and technologies in data engineering, as well as advancements in HR tech systems and their APIs
- Proactively identify opportunities for data-driven insights and collaborate with cross-functional teams to develop new features and enhance existing workforce analytics offerings
- Mentor and support junior team members, fostering a culture of collaboration, continuous learning, and growth
- Collaborate with cross-functional teams to troubleshoot and resolve complex engineering challenges, ensuring the smooth operation of our data pipelines and the satisfaction of our customers
Our take
Gender and diversity gaps are a point of great attention in the current landscape of workforces. Hiring managers can gain great insights into their staff demographics through employee diversity statistics, but analyzing all of this information is time-consuming and complex. Knoetic provides software that aims to help HR workforces analyze employee data to make better employment decisions
The platform dashboard provides macro insights for large-scale employment decisions such as reducing the gender pay gap, in addition to granular data such as individual employee trajectories. The startup is not the only HR data analysis platform of its kind, with companies such as Tableau and Looker also providing insights on workforces in the form of data graphs.
Given the competition, Knoetic must work to consolidate a place for itself in the market. And in the long term, it wants to continue to develop its predictive analytics engine aimed at helping HR issues like retention and turnover.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Medical, dental & vision insurance
- 401k
- Hybrid (NYC)
- Generous equity
- Team offsites
- $2,500 learning budget
- $500 WFH budget
- Parental and family leave
Company HQ
SoHo, New York, NY
Leadership
Joseph Quan
(CEO)Joseph co-founded Twine (now Knoetic) in 2018 and was selected by Melinda Gates as one of Inc. Magazine's 30 Under 30 in the same year. They also founded CPOHQ in 2020, a Chief People Officers community, where they continue to act as CEO.
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