Data Architecture Specialist

Há 5 dias

São Paulo, São Paulo, Brasil beBeeEngineer Tempo inteiro R$12.000 - R$15.000

As a Data Engineer at Lateral Group, you will play a pivotal role in shaping our AI capabilities through the design and implementation of scalable, secure pipelines for transferring and storing imaging and biomarker data. This is a high-impact opportunity to work on meaningful products that make a measurable difference in various fields.

Job Description:
  • Pipeline Design and Implementation: You will design and implement scalable, secure pipelines for transferring and storing imaging and biomarker data.
  • Data Automation and Quality: Your responsibilities will include automating data anonymization, validation, and quality checks to reduce manual intervention.
  • System Optimization: You will optimize and scale the data cataloging system, enabling performant querying and downstream use by ML teams.
  • Compliance and Governance: You will support data governance and compliance, including HIPAA/PHI-sensitive workflows across imaging and biomarker modalities.
  • Analytics and Tooling: You will enable analytics and insight generation from large datasets — building tooling to allow quick querying, statistics, and cohort slicing.
  • ML Dataset Preparation: You will prepare and deliver ML-ready datasets, including site-based sourcing and assignment to experimental splits.

Key Requirements:

  • 3+ years building production data pipelines and architectures, ideally in cloud environments like AWS; strong candidates with less experience also considered.
  • Strong Python skills, with experience in tools like boto3, pydicom, pandas, and airflow or equivalent workflow orchestrators.
  • Familiarity with healthcare data formats (DICOM, HL7) and privacy-sensitive workflows (anonymization, de-identification, auditability).
  • Experience with NoSQL or semi-structured databases (e.g., DynamoDB) and their performance tuning.
  • Understanding of data validation, observability, and quality assurance best practices.
  • Comfort collaborating across engineering, research, and product teams to understand needs and deliver high-quality data products.

Bonus Points:

  • Experience supporting ML teams directly with clean, well-versioned training datasets.
  • Familiarity with at least one of the major distributed computing frameworks (e.g., PySpark, Ray, Dask).
  • Exposure to data governance and compliance frameworks (HIPAA, GDPR, etc.).
  • Experience integrating multimodal or time-series data sources.
  • Prior work with medical or life sciences datasets.

Benefits:

  • Real Impact: You'll work on meaningful products that make a measurable difference in various fields.
  • Remote-First, Office Friendly: Work from wherever you're most productive - whether that's your home, a co-working space, or one of our offices.
  • Async Collaboration: We prioritize async collaboration, respect your time zone, and focus on outcomes over hours.
  • Outstanding Team: Talented, kind, and hard-working people who care deeply about their craft - and about each other.
  • Growth: You'll be supported in growing your craft, exploring new paths, and stepping into greater responsibility - at your own pace.
  • Culture of Excellence: We care deeply about doing the right thing - for our clients, our team, and ourselves.

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