The ideal candidate thrives amid ambiguity, builds for the future while delivering today, and understands the importance of code development best practices. If you love hard problems with many solutions and a diverse, results-oriented environment, come join us!
Key job responsibilities
Be hands-on with ETL/ELT to build and maintain reliable, scalable data pipelines using SQL, Python, and Spark that support automated reporting for warehouse automation and customer packaging
Interface with other technology teams to extract, transform, and load data from a wide variety of sources spanning warehouse automation and customer packaging
Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, and Redshift, and manage our "source of truth" data stores
Implement best practices in batch and real-time data processing to make pipelines performant
Apply strong data quality practices (validation, deduplication, PII handling, drift detection, and monitoring) so consumers can trust the data
Build data security and access controls into the data infrastructure, protecting sensitive operational and performance data throughout its lifecycle
Model data and metadata for ad-hoc and pre-built reporting, and deliver high-quality datasets to support BIEs, Data Scientists, and customer reporting needs
Manage and optimize cloud computing resources on AWS to support data infrastructure
Use AI-assisted development tools (e.g., Amazon Q, Kiro) to accelerate pipeline development, SQL, and debugging, while validating generated output for correctness
Create extensible, easy-to-maintain designs with a long-term vision, laying groundwork to support future machine learning and GenAI use cases
Participate in strategic and tactical planning discussions
A day in the life
As a Data Engineer on this team, you will own the end-to-end data pipelines and infrastructure that serve as our "source of truth" for warehouse automation and customer packaging metrics. You will design, build, and operate robust and scalable ETL/ELT solutions, integrating complex data from dozens of sources to enable data-driven decisions across the Robotics Delivery and Packaging Innovation Organization.
You will partner closely with Business Intelligence Engineers, Data Scientists, Software Engineers, Product Managers, and Operations teams to translate raw requirements into reliable and scalable data pipelines producing datasets that can be used and trusted across the org. You will also champion data quality and security practices, ensuring stakeholders can trust the data while sensitive operational information stays protected throughout its lifecycle.
1+ years of data engineering experience
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
Knowledge of distributed systems as it pertains to data storage and computing
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 101,300.00 - 160,000.00 USD annually
