Amazon
Join Amazon as a Senior Data Engineering Specialist, where you'll work alongside some of the world's greatest inventors and innovators! In this role, you'll have the chance to create impactful solutions that meet the ever-evolving needs of our customers, influencing millions globally.
As a Senior Data Engineering Specialist at Amazon, you'll tackle unique and complex problems with speed, leveraging cutting-edge technologies to develop highly scalable solutions. Opportunities for career development across a variety of teams are abundant and actively promoted.
We're looking for candidates for Senior Data Engineering roles across Amazon Stores in the United States and Canada, with diverse teams including:
Consumer Technology:
Enhance the customer and seller experience on Amazon.com by building innovative site-wide features and category-specific software. Operations Technology:
Innovate transportation planning and execution technologies that support fulfillment centers and enhance customer experience worldwide. Human Resources Technology:
Streamline experiences for Amazonians and candidates by delivering robust systems for onboarding, time management, and recruiting. Work-Life Balance:
We prioritize your personal and professional well-being. We value the right balance that energizes both parts of your life, offering flexible working hours to create harmony in your routine. Mentorship & Career Growth:
Our diverse team is dedicated to supporting new members with knowledge-sharing and mentorship opportunities, ensuring your professional growth is a priority. Inclusive Team Culture:
We celebrate our differences and foster an inclusive culture with employee-led affinity groups and ongoing learning experiences. Key Responsibilities: Define the technical strategy for your team. Lead complex technical initiatives. Translate business needs into scalable, operable solutions. Develop project plans and deliver on commitments consistently. Optimize platform performance through a metrics-driven approach. Identify customer pain points and create accessible data solutions. Mentor team members through collaboration and code reviews. Basic Qualifications: Bachelor's degree in IT, Software Engineering, Computer Science, or a related field. 7+ years of experience in data engineering. Expertise in data modeling, warehousing, and ETL pipeline development. Proficient in SQL and at least one modern programming language (e.g., Python, Java, Scala, NodeJS). Experience with data visualization tools like Tableau or Power BI. Preferred Qualifications: Familiarity with big data technologies (Hadoop, Hive, Spark, EMR). Experience operating large data warehouses and leading cross-functional projects. This position will remain open until filled. We look forward to receiving your application! Location:
Specific work address to be provided during the application process.
Enhance the customer and seller experience on Amazon.com by building innovative site-wide features and category-specific software. Operations Technology:
Innovate transportation planning and execution technologies that support fulfillment centers and enhance customer experience worldwide. Human Resources Technology:
Streamline experiences for Amazonians and candidates by delivering robust systems for onboarding, time management, and recruiting. Work-Life Balance:
We prioritize your personal and professional well-being. We value the right balance that energizes both parts of your life, offering flexible working hours to create harmony in your routine. Mentorship & Career Growth:
Our diverse team is dedicated to supporting new members with knowledge-sharing and mentorship opportunities, ensuring your professional growth is a priority. Inclusive Team Culture:
We celebrate our differences and foster an inclusive culture with employee-led affinity groups and ongoing learning experiences. Key Responsibilities: Define the technical strategy for your team. Lead complex technical initiatives. Translate business needs into scalable, operable solutions. Develop project plans and deliver on commitments consistently. Optimize platform performance through a metrics-driven approach. Identify customer pain points and create accessible data solutions. Mentor team members through collaboration and code reviews. Basic Qualifications: Bachelor's degree in IT, Software Engineering, Computer Science, or a related field. 7+ years of experience in data engineering. Expertise in data modeling, warehousing, and ETL pipeline development. Proficient in SQL and at least one modern programming language (e.g., Python, Java, Scala, NodeJS). Experience with data visualization tools like Tableau or Power BI. Preferred Qualifications: Familiarity with big data technologies (Hadoop, Hive, Spark, EMR). Experience operating large data warehouses and leading cross-functional projects. This position will remain open until filled. We look forward to receiving your application! Location:
Specific work address to be provided during the application process.