Founding Data Science Engineer, Data Platform (remote)

Real; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid leave

Job summary

Real in New York City is building a cutting-edge data platform to power evidence generation and AI reasoning. They seek a Founding Data Science Engineer to own the platform end-to-end, set the technical direction, and create core data infrastructure that enables the team to discover, trust, and leverage data at scale.

This role requires leadership and hands-on engineering across data ingestion, storage, governance, and observability, with experience in distributed systems and cloud

Qualifications

• End-to-end ownership of production data platforms across multiple products and teams.
• Experience with distributed systems and cloud infrastructure for scalable data platforms.
• Ability to architect robust data pipelines with clear data lineage.

Responsibilities

• Own the platform end-to-end, setting technical direction and architecture.
• Design, build, and operate shared data infrastructure for multiple products.
• Establish governance, observability, and data quality standards across the platform.

Skills

End-to-end ownership

Distributed systems

Data ingestion

Observability

Platform operations

Workflow orchestration

Data lineage

AI healthcare data

Technical leadership

Job description

Founding Data Science Engineer, Data Platform (remote)

Our client, an innovative life sciences organisation in New York City, is building a cutting-edge data platform to power evidence generation and AI reasoning. They are seeking a Founding Data Science Engineer to own this platform end-to-end, setting the technical direction and creating the core data infrastructure that enables our client's team to discover, trust, and leverage data at scale.

Key Skills and Experience

• End-to-end ownership of production data platforms: Proven experience designing, building, and operating shared data infrastructure that supports multiple products and teams.

• Distributed systems and cloud infrastructure: Deep understanding of scalable, resilient systems, orchestration, and the full data lifecycle from ingestion to consumption.

• Data ingestion, storage, enrichment, retrieval, and lineage: Ability to architect robust pipelines, create shared data assets, and maintain clear data lineage.

• Reliability, observability, governance, and data quality: Track record establishing platform standards, monitoring, and controls to ensure trusted, high-quality data.

• Platform operations and incident response: Hands-on experience running production platforms, resolving issues, and continuously improving systems.

• Workflow orchestration and metadata systems: Familiarity with orchestration tools and metadata-driven architectures to manage complex data workflows.

• Data lineage and observability tooling: Building capabilities to trace data flows and provide visibility into system behaviour.

• AI, healthcare, or biomedical data platforms: Experience in these domains and with knowledge graphs or evidence management systems is highly advantageous.

• Technical leadership and architecture: Ability to make strategic architectural decisions and lead mission-critical platform initiatives at Staff, Principal, or Founding level.

Interested in shaping this platform from the ground up?

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law.

• medical coverage
• dental coverage
• vision coverage
• paid leave where required by applicable law

Eligibility may vary based based on factors such as location and hire date and is subject to change.