Data Engineer - Robotics Delivery & Packaging Innovation

Amazon Inc.; Bellevue (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Amazon Inc. is seeking a Data Engineer to design, build, and operate end-to-end data pipelines powering warehouse automation and packaging analytics.

You will develop scalable ETL/ELT solutions, integrate data from many sources, and enable data-driven decisions across the Robotics Delivery and Packaging Innovation org. You will collaborate with BI Engineers, Data Scientists, product, and operations to translate raw data into reliable datasets, apply data quality controls, and ensure data

Qualifications

• 1+ years of data engineering experience.
• 2+ years of experience analyzing data with Redshift, Oracle, NoSQL, etc.
• 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 languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting languages (e.g., Python, KornShell).

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.

Skills

Python

SQL

Spark

Redshift

Oracle

NoSQL

KornShell

Scala

Education

Bachelor's degree

Tools

HiveQL

PL/SQL

KornShell

SparkSQL

Job description

Amazon Inc. is seeking a Data Engineer to design, build, and operate end-to-end data pipelines powering warehouse automation and packaging analytics.

You will develop scalable ETL/ELT solutions, integrate data from many sources, and enable data-driven decisions across the Robotics Delivery and Packaging Innovation org. You will collaborate with BI Engineers, Data Scientists, product, and operations to translate raw data into reliable datasets, apply data quality controls, and ensure data