Scientific Data Engineering Specialist

McLeanonsitemid$78K – $176K

Posted today · via Workday

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About this role

Scientific Data Engineering Specialist The Opportunity: Provide technical leadership in designing and implementing scalable data ingestion, storage, cataloging, API, and processing capabilities as a Scientific Data Engineering Specialist. Ensure that high‑volume, secure, and reliable data pipelines operate effectively across various internal data teams. Contribute to modern cloud‑based architectures and guide the development and optimization of microservices that support ingestion, transformation, and advanced processing workflows. Partner closely with engineering peers to evolve legacy data flows into event‑driven systems and strengthen platform observability, met rics, and logging. Build and refine API and notification services to streamline data exchange and integration.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, java, r, spring, spring boot…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in McLean. We weight your proximity and willingness to relocate.

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Free · no card · written explanation included

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonjavarspringspring bootmongodbredisawss3ekssqssnsiamkafkapulsarteams

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