Data Platform Engineer – B2B Intelligence Systems (Life Sciences)

Data Platform Engineer – B2B Intelligence Systems (Life Sciences)

Location : Remote |

Type : Full-Time

About BioSales

BioSales partners with contract research organizations (CROs) and life sciences companies to provide comprehensive sales and go-to-market services. We lead the entire sales process from prospecting new clients and closing deals to account management and maintaining customer relationships. Our goal is to deliver superior sales solutions that drive growth and success for our partners in the life sciences industry.

The Role

We’re hiring a Data Platform Engineer to architect and build a B2B intelligence platform from the ground up.

You’ll define the technical direction, select the right tools, and lead development of a scalable data ecosystem that powers our prospecting, enrichment, and analytics systems.

What You’ll Do

Design and build

end-to-end data pipelines

for collection, enrichment, and delivery of multi-source data

Develop

scalable scraping and ingestion systems

to collect data from structured and unstructured sources

Implement

data modeling, entity resolution, and deduplication

to ensure accuracy and quality

Design

database and storage architecture

for high-volume, query-optimized data

Build

APIs and internal tools

to serve data to analytics and sales teams

Deploy, monitor, and scale infrastructure across

AWS, Azure, or GCP

Define best practices for data governance, security, and compliance

What We’re Looking For

5+ years of experience in

data engineering, platform architecture, or related roles

Proven success

building or scaling data aggregation or intelligence systems

Strong experience with

Python, SQL , and modern

data orchestration frameworks

Expertise designing

data models, APIs, and distributed systems

Familiarity with

cloud environments (AWS, Azure, GCP)

and modern DevOps workflows

Strategic mindset with the ability to balance

architecture and hands-on execution

Excellent communication skills and ability to lead technical direction in a small, fast-moving team

Bonus

Experience applying

machine learning or NLP

for data enrichment or classification

Background in

life sciences, healthcare data, or B2B SaaS

Familiarity with

compliance and data privacy

(GDPR, CCPA)

Why Join Us

This is a

ground-floor opportunity

to lead the development of a greenfield data intelligence platform. You’ll have

full ownership over the architecture and technology decisions , working alongside a small, ambitious team transforming how biotech and CROs find and connect with partners.