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What You'll Do:
- Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time processing.
- Integrate data from databases, APIs, applications, and event streams into the enterprise data platform.
- Build reusable data models and curated data products for analytics, reporting, and AI/ML.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years of production data engineering experience.
- Advanced proficiency in Python and SQL with strong software engineering fundamentals.
- Hands-on experience with Snowflake, AWS, and distributed streaming technologies like Kafka.
Why Our Team:
- Build scalable data platforms that power healthcare products, analytics, Machine Learning, and Generative AI.
- Solve challenging data problems involving large, complex healthcare datasets.
- Work with modern technologies including Snowflake, AWS, Python, and streaming platforms.
Experity
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.