Data Engineer

• Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
• 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• 2+ years of industry experience using SQL or Python
• 1+ year experience with big data technologies such as Hadoop, Hive, Hbase, Spark, EMR, etc.
• 1+ year experience data management fundamentals and data principles
• 1+ year experience with distributed systems as it pertains to data and computing

Amazon is looking for a Data Engineer to join the Amazon Care Engineering team. We are a passionate team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access.

As a Data Engineer with Amazon Care, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.

Inclusive Team Culture:
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

• 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
• 1+ experience with healthcare data modeling standards, such as HL7 or FHIR.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda for serverless ETL)
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering · Experience with common record linkage techniques.
• Experience integrating data from one or more industry-standard EHR systems.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.