TL;DR
Senior Data Engineer (AI/ML): Developing and maintaining data models and pipelines to process large volumes of diverse user data for AI-powered wellbeing solutions with an accent on data quality, scalability, and business context. Focus on designing efficient data structures, automating data quality checks, and enabling data-driven insights across teams.
Location: Remote within Brazil only
Company
hirify.global is a global workplace wellness platform headquartered in NYC, connecting employees to fitness, mindfulness, therapy, nutrition, and sleep resources.
What you will do
- Develop and maintain scalable data models for efficient querying and analysis
- Design, build, and maintain data pipelines to process large volumes of multi-format user data
- Implement automated data quality checks across the data lifecycle
- Collaborate with engineering and product teams to gather requirements and deliver solutions
- Support data-driven culture by enabling data availability for data scientists, analysts, and product teams
- Contribute to wellbeing mission by fostering a supportive work environment
Requirements
- Must be located in Brazil and able to work remotely within the country
- Proven experience creating robust and scalable data models from business requirements
- Experience with data pipeline tools such as Airflow, EMR, Kafka
- Strong understanding of big data concepts and data consistency maintenance
- Ability to collaborate across teams and communicate solutions to management
- Motivated to contribute to a data-driven culture and continuous learning
Culture & Benefits
- Flexible work options including hybrid and remote, with home office reimbursement
- Comprehensive wellbeing benefits including fitness memberships, emotional wellbeing programs, and healthcare
- Paid time off with vacation, additional days off, and paid parental leave
- Career growth opportunities with personalized development roadmaps and learning platforms
- Inclusive, diverse, and supportive culture valuing open communication and wellbeing
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