15 days ago
Base Salary
$155k - $209k/yr
Responsibilities
- Develop and maintain monitored automated ETL pipelines using Python, Spark, SQL, and AWS services.
- Implement and support reporting and analytics infrastructure for internal business customers.
- Develop enterprise-scale data security, permissions, encryption, user access controls, and logging solutions.
- Create data objects and optimize data lake and warehouse tables using modeling, partitioning, compression, and parallelization techniques.
- Maintain data warehouse and data lake metadata, catalogs, and user documentation.
- Gather and document requirements with business customers and software development teams for data publishing and consumption.
- Mentor team members on engineering best practices.
Requirements
- At least 5 years of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience with SQL.
- Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Preferred experience with Hadoop, Hive, Spark, or EMR.
- Preferred experience operating large data warehouses.
- Experience mentoring team members on best practices.
Benefits
- Comprehensive health insurance including medical, dental, vision, prescription, life, and AD&D coverage.
- 401(k) matching, paid time off, and parental leave.
- Employee assistance, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- Inclusive culture, mentorship, knowledge-sharing, learning experiences, and career development resources.
- The position is based in Seattle, Washington; no remote or hybrid arrangement is stated.
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.