Remote AWS Data Platform Engineer for Scientific Data

Select Source Solutions; Virginia; A distancia; USD 130.000 - 170.000; Jornada completa

Descripción de la vacante

Select Source Solutions in the United States is seeking a Data Platform Engineer IV to design, implement, and maintain cloud‑native AWS data platforms for scientific and environmental workloads. You will build pipelines, storage, integrations, APIs, and automation from Senior Architect designs while writing clean, tested code.

Collaborate with scientists and data users to ensure the platform meets needs; implement governance, instrumentation, and CI/CD; contribute to security and compliance and

Formación

• Bachelor's degree in Computer Science, Engineering, a physical, environmental, or Earth science, or equivalent practical experience.
• 8+ years of professional software or data engineering experience, including building production data platforms.
• Demonstrated experience building pipelines or platforms for scientific, geospatial, environmental, or Earth observation data.
• Hands‑on experience with scientific or geospatial data formats (e.g., NetCDF, HDF5, Zarr, GeoTIFF).
• Strong proficiency in Python and SQL.
• Hands‑on experience implementing solutions in a major cloud environment, with AWS strongly preferred.
• Experience building data ingestion and processing pipelines with workflow or orchestration tools.
• Experience with cloud data storage technologies (object storage, data lakes, warehouses, databases).
• Experience implementing data governance, cataloging, and lifecycle management practices.
• Experience delivering solutions in federal or other regulated environments, including security and compliance requirements (e.g., NIST, FedRAMP).
• Experience building APIs and system integrations.
• Experience with infrastructure as code and CI/CD tooling.
• Solid software engineering fundamentals: testing, version control (Git), code review, and documentation.
• Ability to interpret architectural designs and implement them as scalable, production‑ready solutions.
• Strong communication skills and the ability to collaborate with architects, scientists, and cross‑functional teams.

Responsabilidades

• Build cloud-native data platforms on AWS that support scientific and environmental data workloads.
• Build and maintain ingestion and processing pipelines for large, complex scientific datasets, including Earth observation, weather, and environmental data.
• Implement storage layers designed for scientific data formats and access patterns (e.g., NetCDF, HDF5, Zarr, GeoTIFF).
• Implement data governance, metadata management, and lifecycle controls so federal and scientific data is trusted, discoverable, and well managed, with attention to provenance and reproducibility.
• Develop integrations with internal systems, external scientific data sources, and third‑party services.
• Build APIs and services that expose data and platform capabilities to scientists, analysts, and downstream systems.
• Work with scientists and data users to understand how data is produced and consumed, and make sure the platform serves their needs.
• Implement cloud‑based data platform components from solution designs and direction provided by the Senior Architect.
• Automate deployment, orchestration, testing, and operations using infrastructure as code and CI/CD practices.
• Add monitoring, logging, and alerting so pipelines are observable and reliable.
• Give the Senior Architect feedback on feasibility and trade‑offs during implementation.
• Write clean, tested, well‑documented code and participate in code reviews.
• Perform other duties and responsibilities as assigned

Conocimientos

Python

SQL

AWS

Data pipelines

CI/CD

Git

IaC

APIs

Data governance

Security/compliance

Educación

Bachelor's degree or equivalent

Herramientas

Docker

Kinesis

Kafka

Prometheus

Grafana

CloudWatch

Terraform

Descripción del empleo

Select Source Solutions in the United States is seeking a Data Platform Engineer IV to design, implement, and maintain cloud‑native AWS data platforms for scientific and environmental workloads. You will build pipelines, storage, integrations, APIs, and automation from Senior Architect designs while writing clean, tested code.

Collaborate with scientists and data users to ensure the platform meets needs; implement governance, instrumentation, and CI/CD; contribute to security and compliance and