Senior Data Engineer, Data Platform (LatAm)
About The Position
We’re looking for a Senior Data Engineer to join us and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the patient and provider experience through innovative, data-driven solutions. You will architect and build core services, automation tools, and integrations that power our client's data ecosystem. You’ll own high-impact platform components, improve pipeline reliability and observability, and partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client's data platform.
Requirements
- You have to live in Latin America.
- 7+ years of experience in data engineering or software development with at least 5 years building production-grade data or platform services
- Strong programming skills in Python & SQL and at least one major data platform (Snowflake, BigQuery, Redshift, or similar)
- Develop tooling for schema evolution, data contracts, and developer self-service
- Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi).
- Experience with schema governance, metadata systems, and data quality frameworks.
- Understanding of orchestration tools (Airflow, Dagster, Prefect, etc.)
- Solid grasp of CI/CD and Docker
- At least 2 years of experience in AWS
- Experience with building data pipelines using dbt
Nice To Haves
- Experience with data observability, data catalog, or metadata management tools
- Experience working with healthcare data (X12, FHIR)
- Proven experience in data migration projects (legacy technologies to the latest technologies)
- Experience building internal developer platforms or data portals
- Understanding of authentication/authorization (OAuth2, JWT, SSO)
Responsibilities
- Build Automation & Tooling: Develop scalable backend services, APIs, and internal tools to automate data platform workflows (e.g., data onboarding, validation, pipeline orchestration, schema tracking, quality monitoring).
- Data Platform Integration: Integrate tools with core data infrastructure, building pipelines (Airflow, Spark, dbt, Kafka, Snowflake, or similar) to expose capabilities via APIs and UIs.
- Observability & Governance: Build visualization and monitoring components for data lineage, job health, and quality metrics.
- Collaboration: Work cross-functionally with data engineering, product, and DevOps teams to define requirements and deliver end-to-end solutions.
Benefits
- Totally remote within Latin America, full-time (40h/week)
- Stable, long-term independent contract agreement
- Work hours - US Eastern time office hours
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
51-100 employees
