Data Engineer, Robotics Delivery and Packaging Innovation

Amazon is hiring a Data Engineer, Robotics Delivery and Packaging Innovation in Bellevue, United States. It pays $101k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Tools and skills the posting cites include AWS, Python and SQL.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past two weeks.

AI in this role

Build and maintain scalable data pipelines and warehousing infrastructure to support warehouse automation and packaging analytics.

awspythonsqlsparkredshift

data-engineeringetldata-modelingpipeline-development

Are you passionate about sustainability and waste reduction efforts across Amazon's global organization? Are you interested in building the data foundation that drives solutions balancing packaging and automation to increase speed, reduce cost, and ultimately delight our customers? The Robotics Delivery and Packaging Innovation team is looking for a Data Engineer to join us in building and maintaining the end-to-end data pipelines and infrastructure that power our analytics and business decisions. This is your opportunity to be a core part of the team that reduces waste for our business and our customers.

In this role, you will design, build, and operate the data pipelines behind our "source of truth" data store and metrics for warehouse automation and customer packaging. You will develop robust, scalable ETL/ELT solutions that integrate large, complex data spanning many sources and data structures using AWS tools, enabling data-driven decisions on OEE, machine metrics, and product performance across our packaging automation, IB sortation, and other warehouse automation products.

We are looking for a builder with deep SQL proficiency, strong Python skills, and knowledge of data modeling and warehousing best practices. You will apply rigorous data quality and data security practices, including validation, deduplication, PII handling, access controls, and monitoring, so that stakeholders can trust the data and sensitive operational data stays protected as it moves through our pipelines. You'll partner closely with Business Intelligence Engineers, Data Scientists, Product, and Operations to translate raw data into reliable, well-governed datasets and actionable insights.

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.

Basic qualifications

- 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)

Preferred qualifications

- 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

How we rate this

Data Engineer, Robotics Delivery and Packaging Innovation at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer, Robotics Delivery and Packaging Innovation is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $101k-$160k a year.
The role is based in US, WA, Bellevue.
The job was posted on October 15, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData ModelingPipeline DevelopmentAWSPythonSQLSpark

Also common in data engineer jobs at this level

Azure Airflow Databricks Google Cloud Snowflake Java

Pay

This job starts at: $101k
Typical data engineer job: $150k

This posting starts 32% below the typical data engineer job. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where pipeline development was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, ETL, Data Modeling, Pipeline Development, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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