Sr. Data Engineer (Remote, Latin America)
Remote - US
|Contract
Our client is a fast-growing pediatric healthcare company that delivers play-based autism therapy across the United States. As the organization expands into new states, the Data, AI & Automation team needs a senior data engineer to own their data platform end-to-end. This is a full-stack data role: you'll handle everything from integrating third-party data sources, through transformation and modelling, to building dashboards and analytics. You'll take over stewardship of a recently built architecture that consolidates information from the electronic medical records system, HR/payroll, and finance sources.
It's a long-term, fully remote contract opportunity without an end date. Candidates can be located anywhere in Latin America; strong English communication skills (C1 or higher) are required, including the ability to explain technical concepts clearly in writing, document your work thoroughly, and communicate proactively—providing updates without being asked and raising questions early.
Key Responsibilities
- Own the complete data lifecycle: integration, transformation, storage, and visualization
- Build and maintain data integrations with third-party systems
- Design and maintain transformation layers and data models in BigQuery
- Build and maintain dashboards and data visualizations in Looker
- Implement and maintain DBT for data transformation best practices
- Ensure data quality, monitoring, and documentation
- Collaborate with stakeholders across the organization to understand data needs and deliver actionable insights
Technical Environment
- Cloud: Google Cloud Platform (GCP)
- Data Warehouse: BigQuery
- Visualization: Looker
- Transformation: DBT (to be implemented)
- Languages: Python, SQL
- CI/CD: GitHub Actions
- 5+ years of hands-on data engineering experience
- Strong proficiency with Google Cloud Platform, especially BigQuery
- Experience with DBT (Data Build Tool) for data transformation
- Proficiency in Python and SQL
- Experience building data integrations with third-party APIs and systems
- Experience with data visualization tools (Looker preferred)
- Ability to work independently and take full ownership of the data platform
- Healthcare data experience (EMR systems, HIPAA considerations)
- Experience with Apache Spark
- Experience working in startups or small teams where you wear multiple hats
- A company-issued laptop will be provided; you must maintain a secure, private workspace with a reliable internet connection.
- HIPAA compliance training is required before your start date.
- Completed background checks will be required if selected.
- As a winning candidate, you will be asked to disclose your engagement with DevEngine as a primary client on your LinkedIn profile.