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Digital Health Data Engineer
Bydrec, Inc.. Design, build, and maintain data pipelines to ensure seamless integration and high-performance processing of large-scale time-series datasets .
Tech Stack
Tools & technologiesAWSCloudDockerPySparkPythonRaySQL
About the role
Key responsibilities & impact- Design, build, and maintain data pipelines to ensure seamless integration and high-performance processing of large-scale time-series datasets
- Develop rapid QC metrics used in dashboards to present complex datasets to stakeholders
- Provide Python expertise, supporting team members with queries and troubleshooting while promoting best practices in code quality and development
- Communicate insights and results through reports, presentations, and technical documentation.
Requirements
What you’ll need- Bachelor’s degree with 5+ years of industry experience, or a Master’s degree with 3+ years of experience, in Computer Science, Data Science, Bioinformatics, or a related quantitative field
- Advanced English proficiency (written and spoken)
- Strong proficiency in Python, with the ability to mentor and support the team in solving complex Python-related challenges
- Proficiency in R is also required
- Experience in data visualization for complex and large-scale datasets, particularly time-series data, using tools such as Power BI
- Expertise in SQL, PySpark, and Ray clusters for data engineering and large-scale analysis
- Experience with containerization tools such as Docker and deploying data workflows in modern environments
- Hands-on experience with machine learning, particularly with large datasets
- Familiarity with cloud technologies, including AWS and Snowflake
- Experience working with multimodal time-series biosensor data such as accelerometer, ECG, PPG, or EEG
- Strong communication skills, with the ability to collaborate across teams and present complex technical concepts clearly.
Benefits
Comp & perks- Excellent opportunity to work REMOTELY with a U.S.-based company
- Candidates living in Mexico, or all LATAM are welcome to apply.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRSQLPySparkRaydata visualizationmachine learningcontainerizationDockerdata pipelines
Soft Skills
communicationcollaborationmentoringtroubleshootingcode qualitypresentation skillstechnical documentationinsight communicationstakeholder engagementbest practices