CLIENT
Spatially Health operates within the healthcare technology sector, specializing in delivering insights into Social Determinants of Health (SDOH) for Accountable Care Organizations (ACOs) and healthcare providers. Their flagship product, the cloud-based platform Equity Equalizer, leverages spatial analytics, location intelligence, and machine learning to pinpoint and measure health barriers at the community level.
This innovative platform empowers healthcare organizations to achieve health equity by facilitating targeted interventions and data-driven decision-making in patient care.

Partnership Timeline
2021 — Ongoing
Partner's input data
HQ — Coral Gables, Florida, United States
20+ employees & growing
$10.6 million revenue annually
6 May ‘24 latest funding round
Industry:
Healthtech & Data Collection
Founded:
in 2019
Specialities:
#healthcare #data science #data collection #location intelligence


CHALLENGE
Spatially Health needed highly specialized professionals for their projects, specifically developers with data engineering experience. They sought
our Staff Augmentation Service to address this need.
For the project, we opened two distinct types of vacancies:
• Positions focused purely on data science.
• Programming roles with a strong emphasis
on data engineering expertise.
The second type of vacancy significantly narrowed the pool of candidates and demanded higher expertise from recruiters. To fulfill this specific request, our hiring team had to grasp the nuances of the specialty and effectively align data engineering experience with project requirements. This precision is crucial to upholding candidates' high quality and suitability for these technical roles, ensuring that only relevant candidates progress to the last interview stages.
GOAL
The positions required included:
Big Data Engineer
Senior Data Scientist
Senior Node.js Developer with Data Engineering experience
Senior Python Developer with Data Engineering experience
On-demand staffing of a continuously growing data engineering team with long-term commitment.


SOLUTION
To effectively address Spatially Health's staffing requirements, we began by conducting a thorough analysis to identify the specific skill sets needed for their innovative platform EQUITY EQUALIZER™. This initial phase involved determining an optimal number of positions and developing a comprehensive roadmap for scaling their data engineering team. We started with
a matching expectations call where the recruitment team got
a clear understanding of the project's objectives
and requirements:
Main Skill Set Requirement:
nice to have DevOps and data engineering experience (for development positions), but it’s a must for Data Engineering positions
Cultural Fit:
analytical, problem-solving, and troubleshooting skills
The model we have used enabled Spatially Health to remain agile and ready to expand or downsize the team depending on external and internal business needs.
OUTCOME
As a result of our comprehensive hiring and onboarding strategy, we now have a fully integrated yet independent team working remotely from Ukraine. This setup has significantly streamlined the client’s operational processes, and each team member contributes equally to the company’s success. The team’s remote work capabilities have ensured continuous project progress without geographical limitations.
After reviewing our collaboration over the past three years, we are to report a 100% retention rate and overall satisfaction of the outcomes by both parties. The client remains committed to our partnership and gradually opens new positions, expanding the team.
Overall Talent Pool:
1,550 tech candidates
Interviewed: 49 tech candidates
Offers made: 6
Offers accepted: 5
Made an offer and hired:
5 senior specialists