Founding Data Engineer

BioTalent Ltd; Georgia; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive pay

Equity

Remote flexibility

Job summary

A fast-growing healthtech organization is seeking a Data Engineer in the United States. You will own the entire data platform and work in a mission-driven team to develop AI-driven clinical tools. Ideal candidates have 5+ years of experience and strong SQL and Python skills. The role offers competitive pay and remote work flexibility.

Qualifications

• 5+ years of Data Engineering experience, ideally building from 0→1.
• Comfort in fast-paced, high-growth environments.
• US work authorization.

Responsibilities

• Architect and maintain the organisation’s core data infrastructure.
• Build batch and streaming pipelines integrating diverse internal and external data sources.
• Manage dbt SQL models and apply healthcare ontologies (e.g., SNOMED, ICD, FHIR).
• Develop pipelines for structured and unstructured data.
• Support AI, clinical, financial, and operational workflows.
• Deliver projects such as real-time dashboards, CDC systems, reverse ETL, and performance analytics.

Skills

Strong SQL skills

Python skills

Experience designing scalable data architectures

Proactive and collaborative approach

Job description

A fast-growing healthtech organisation building AI-driven clinical tools to expand global healthcare capacity. Backed by $35M+ in funding, the team combines medical, engineering, and AI expertise to deliver scalable, patient-centric solutions.

At this role you will be offered

• A founding Data Engineer position with ownership of the entire data platform.
• Competitive pay, equity, and remote flexibility across the US.
• The opportunity to shape next-generation AI and clinical technology.
• A mission-driven, high-performance team environment.
• Opportunity to be remote or onsite in NY/Boston

Your responsibilities

• Architect and maintain the organisation’s core data infrastructure.
• Build batch and streaming pipelines integrating diverse internal and external data sources.
• Manage dbt SQL models and apply healthcare ontologies (e.g., SNOMED, ICD, FHIR).
• Develop pipelines for structured and unstructured data.
• Support AI, clinical, financial, and operational workflows.
• Deliver projects such as real-time dashboards, CDC systems, reverse ETL, and performance analytics.

You will bring

• 5+ years of Data Engineering experience, ideally building from 0→1.
• Strong SQL and Python skills.
• Experience designing scalable data architectures and pipelines.Comfort in fast-paced, high-growth environments.
• A proactive, collaborative approach and ability to work independently.
• US work authorisation.