Senior Data Engineer at iHealth Labs
Posted
Summary
Senior Data Engineer at iHealth Labs building scalable data infrastructure for healthcare — designing data warehouses and lakes, optimizing ETL/ELT pipelines, and ensuring data quality and governance, on-site in Sunnyvale, CA. Core stack includes SQL/Python/Java, Airflow/Spark, and AWS/GCP.
Elevate your career as a Senior Data Engineer with iHealth Labs in Sunnyvale, CA. Focus on building scalable data infrastructures while collaborating with healthcare teams to drive innovative solutions.
This on-site position requires a mid-senior level skill set, with responsibilities including designing data processing systems and optimizing ETL processes. Expertise in data governance and understanding cross-functional data needs is essential, as is a strong grasp of big data technologies, particularly in healthcare applications.
Key Responsibilities: • Collaborate with teams to implement data processing solutions • Design and maintain data warehouses and lakes • Optimize ETL/ELT data integration processes • Ensure data quality and governance practices • Stay updated with big data advancements in healthcare
Requirements: • Bachelor’s or Master’s in Computer Science or related field • 5+ years in data engineering or platform technologies • Proficiency in SQL, Python, or Java • Experience with big data tools like Airflow or Spark • Familiarity with cloud technologies (AWS, GCP)
Leverage your data engineering skills at iHealth Labs to enhance patient monitoring solutions and healthcare delivery.
This on-site position requires a mid-senior level skill set, with responsibilities including designing data processing systems and optimizing ETL processes. Expertise in data governance and understanding cross-functional data needs is essential, as is a strong grasp of big data technologies, particularly in healthcare applications.
Key Responsibilities: • Collaborate with teams to implement data processing solutions • Design and maintain data warehouses and lakes • Optimize ETL/ELT data integration processes • Ensure data quality and governance practices • Stay updated with big data advancements in healthcare
Requirements: • Bachelor’s or Master’s in Computer Science or related field • 5+ years in data engineering or platform technologies • Proficiency in SQL, Python, or Java • Experience with big data tools like Airflow or Spark • Familiarity with cloud technologies (AWS, GCP)
Leverage your data engineering skills at iHealth Labs to enhance patient monitoring solutions and healthcare delivery.