Lead Software Engineer, Datapeople

Python

Salary not provided

SQL

AWS

Docker

Python

Flow

Data Flow

MVC

Senior and Expert level

Toronto

Remote from Canada

More information about location

Recruitment analytics platform

Job no longer available

Recruitment analytics platform

21-100 employees

B2BRecruitmentAnalyticsSaaSSocial Impact

Job no longer available

Salary not provided

SQL

AWS

Docker

Python

Flow

Data Flow

MVC

Senior and Expert level

Toronto

Remote from Canada

More information about location

21-100 employees

B2BRecruitmentAnalyticsSaaSSocial Impact

Company mission

Datapeople's mission is to work with talent teams around the world to make hiring more efficient and fair to everyone.

Job

Company

Role

Who you are

7+ years of experience building large-scale software applications with Python
Previous experience with MVC architecture
Experience with SQL and common relational database systems
Experience with debugging and data flow optimization skills
Experience working in AWS or other cloud environment
Familiarity with Docker or other containerized deployment methods

What the job involves

We are looking for experienced Python / Back-end Software Engineers to help us develop data products that help recruiting teams understand and improve their hiring pipelines and processes
You'll work within a small backend team working on building scalable data pipelines
As we grow our analytics engine, we will include more third-party sources as well as more machine learning and data science APIs to improve our customers' understanding of their entire hiring process
You'll report to our VP of Engineering and collaborate with our Science, Product, and Linguistic teams
Build scalable data pipelines that integrate multiple data sources (both internal and external APIs)
Write data extraction and transformation processes with monitoring
Develop internal tools that will be used by the data and engineering teams
Develop and maintain cloud infrastructure in partnership with senior engineers
Create code that is maintainable, testable, and observable
Maintain and advocate for development standards

Our take

Finding the best candidates for a job is a time-consuming process, requiring recruitment teams to sift through applications for optimum qualifications and to ensure diversity. However, these candidates often still do not tick all the boxes.

Datapeople provides an outbound recruitment platform, using real-time analytics to give recruitment teams advice as to how to strengthen their job posts. The tool helps by analyzing existing recruiting data to find missing roles and demographics to make the workplace more productive and diverse and then optimizing job descriptions through suggestions based on these insights.

Whilst it is undeniable that the company will face competition from other recruitment analytic platforms, Datapeople has taken the unique approach of focusing on providing real-time analytical insights whilst job posts are being created. Through this method, the company claims that it can help the most qualified candidates come directly to the recruitment team, reducing recruitment time and helping companies meet their diversity goals.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% employee growth in 12 months

Glassdoor (2.6)

Company

Funding (last 2 of 3 rounds)

Jun 2023

$13m

SERIES A

Mar 2021

$3m

EARLY VC

Total funding: $21m

Company benefits

Health Insurance - Stay healthy with great healthcare and no monthly contributions
Dental & Vision - Keep your teeth sparkling and your eyes in focus
401k Plan - Prepare for your future with Slavic401k retirement planning
Flexible Paid Time Off - Take the time you need to rest and recharge
Commuter Benefit - Get to work more easily, deduct commuting costs before taxes
Remote Friendliness - Work wherever you’re happiest

Company HQ

Financial District, New York, NY

Leadership

Amit Bhatia

(CEO & Co-Founder)

Management Associate for Citigroup from 2004 to 2006. Experience as Executive Director and Associate of Morgan Stanley from 2008 to 2015.

Salary benchmarks

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