Senior Software Engineer – Data & AI Solutions

🕒 Abril 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $125.000 - $156.300 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Natera

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2004

🧬 Biotecnologia

⚕️ Seguro de Saúde

💊 Farmacêutico

Biotechnology • Healthcare Insurance • Pharmaceuticals

A Natera é líder global em tecnologia de testes de DNA livre de células (cfDNA), especializada em testes e diagnósticos genéticos não invasivos. As soluções inovadoras da empresa concentram-se em áreas como triagem pré-natal, detecção de câncer e monitoramento de transplantes de órgãos. Ao utilizar bioinformática avançada e análise de DNA, a Natera oferece a profissionais de saúde e pacientes informações essenciais para decisões médicas mais embasadas.

Descrição

• Design, build, and maintain the data products that support R&D, analytics, Lab and scientific workflows, from initial design through deployment and iterations. • Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. • Apply domain knowledge in genetics and bioinformatics to design data models, schemas, and abstractions that align with real research patterns and downstream analysis needs. • Design and enforce de-identification and privacy-preserving architectures that meet HIPAA and related regulatory requirements while remaining usable for research. • Design scalable data models to power analytics, reporting, and downstream applications. • Maintain high standards of data quality, accuracy, lineage, and observability across data pipelines. • Partner closely with R&D scientists, bioinformatics teams, and software engineers to translate research needs into well-structured, reusable data assets. • Optimize storage, retrieval, and lifecycle management for large scientific files (E.g. sequencing data, intermediate artifacts, derived datasets). • Drive rapid prototyping efforts to support exploratory, proof-of-concepts, and early-stage initiatives, while guiding the transition to production-grade systems. • Implement best practices for data quality, validation, lineage, observability, and reproducibility to enable a trusted 360° view. • Collaborate with product managers and domain experts to translate requirements into technical solutions. • Establish golden paths (templates, examples, docs) and contribute to shared data product catalogs, patterns, and best practices used by other engineers. • Provide technical guidance and mentorship to mid-level engineers.

🎯 Requisitos

• Bachelor’s or Master’s degree in computer science or bioinformatics with healthcare or biotech data domain experience preferred. • 8+ years of experience in data engineering, designing and maintaining data pipelines and cloud data architectures (e.g, Snowflake, AWS, etc). • Strong background in bioinformatics, genomics, or computational biology (required). • Demonstrated experience supporting scientific R&D, Lab workflows, and research teams with production-grade data systems. • Strong proficiency in Python, SQL, and distributed processing frameworks (Spark or equivalent). • Experience with modern orchestration tools (Airflow, dbt, Dagster). • Experience leveraging AI-assisted development tools (e.g., LLM copilots) to accelerate data solution development. • Familiarity with building data products that support analytics, ML, or AI applications. • Strong data modeling expertise (dimensional, normalized, healthcare-specific schemas). • Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation). • Demonstrated ownership of production-grade data systems and end-to-end pipeline lifecycle. • Ability to evaluate emerging data and AI technologies and recommend scalable solutions. • Exposure to vector databases, embeddings, semantic search, or RAG-based architectures is a plus. • Proven ability to operate effectively in fast-paced environments, balancing speed, rigor, and compliance. • Strong written and verbal communication skills with ability to collaborate across engineering, analytics, and business stakeholders. • Experience working with healthcare, life sciences, or other highly regulated data, including hands-on HIPAA compliance.

🏖️ Benefícios

• Comprehensive medical, dental, vision, life and disability plans for employees and their dependents. • Free testing for employees and their immediate families. • Fertility care benefits. • Pregnancy and baby bonding leave. • 401k benefits. • Commuter benefits. • Generous employee referral program.