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.