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HealthCare.com is revolutionizing the health insurance industry as one of America's fastest-growing insurtech companies. They're seeking a Senior Data Engineer to join their innovative team in building data-driven solutions that shape the future of healthcare insurance. The platform leverages artificial intelligence and machine learning to provide personalized experiences across a network of over 12,000 external partners. The role involves working with cutting-edge technologies like Snowflake, Snowplow, AWS, SQL, and Python to design and implement scalable data architectures. You'll be responsible for developing and optimizing ETL pipelines, managing data warehouses, and ensuring data quality and security. The position offers an opportunity to work with data scientists and engineers in solving complex challenges that directly impact consumer experiences in the healthcare insurance sector. The ideal candidate should have strong technical skills in data engineering, including proficiency in Snowflake, SQL, Python, and AWS services. They should also possess excellent problem-solving abilities and communication skills to collaborate effectively across teams. The company offers comprehensive benefits including medical insurance, 401k matching, parental leave, and professional growth opportunities. This is an excellent opportunity for a senior-level data engineer who wants to make a significant impact in the insurtech space while working with modern technologies and contributing to meaningful solutions in healthcare insurance. Last updated 3 months ago Design, develop, and maintain scalable data architectures Implement and optimize ETL pipelines Manage and optimize data warehouses in Snowflake Utilize Snowplow for web and mobile event tracking Write optimized SQL queries for data extraction and transformation Build automation scripts and data manipulation using Python Integrate AWS services for data storage and processing Ensure data quality, security, and compliance Create documentation for data architectures and workflows Requirements For Sr Data Engineer

Python Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field Experience with data architecture, database design, and pipeline management Proficiency in Snowflake, including data modeling and query tuning Experience with Snowplow for event tracking and data collection Proficiency in Python Familiarity with AWS services Experience with ETL processes Strong problem-solving skills Effective communication and collaboration skills Benefits For Sr Data Engineer

401k Medical Insurance Vision Insurance Work from home opportunity Medical, dental, and vision insurance Up to 15 days of paid time off 11 company observed holidays 8 weeks of paid parental leave 401k plan with company match Life insurance Professional growth opportunity Inclusive company culture Jobs Related To HealthCare.com Sr Data Engineer #J-18808-Ljbffr