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Amazon.com Services LLC

Data Engineer, Robotics Delivery and Packaging Innovation

Amazon.com Services LLC
Bellevue, WA $101k - $160k/yr Full time Posted 8d ago
Analytics Analytics Engineer Aws Data Engineering Big Data Data Data Analysis Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database Databases Digital Marketing ETL Informatica Information Technology (IT) Programming Software Development SQL
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Job Description

The Robotics Delivery and Packaging Innovation team is hiring a Data Engineer to design, build, and operate end-to-end ETL/ELT pipelines and infrastructure for a trusted “source of truth” data store and metrics that support warehouse automation and customer packaging.

Role Responsibilities

  • Build and maintain reliable, scalable ETL/ELT data pipelines using SQL, Python, and Spark to power automated reporting for warehouse automation and customer packaging
  • Partner with other technology teams to extract, transform, and load data from a range of sources related to warehouse automation and customer packaging
  • Apply best practices in data modeling and ETL/ELT processes, including implementing data structures and managing “source of truth” data stores
  • Implement batch and real-time processing approaches to keep pipelines performant
  • Strengthen data trust through validation, deduplication, PII handling, drift detection, and ongoing monitoring
  • Implement data security and access controls to protect sensitive operational and performance data throughout its lifecycle
  • Model data and metadata for ad-hoc and pre-built reporting, delivering high-quality datasets for Business Intelligence Engineers, Data Scientists, and customer reporting needs
  • Manage and optimize AWS cloud computing resources that support the data infrastructure
  • Use AI-assisted development tools (such as Amazon Q and Kiro) to speed up pipeline development, SQL work, and debugging, validating generated output for correctness
  • Design for extensibility and long-term maintainability, including groundwork that can support future machine learning and GenAI use cases
  • Participate in strategic and tactical planning discussions

Required Qualifications

  • 1+ years of data engineering experience
  • 2+ years analyzing and interpreting data with experience using Redshift, Oracle, and NoSQL
  • Bachelor’s degree in a quantitative or technical field such as computer science, engineering, or statistics
  • Knowledge of distributed systems as it applies to data storage and computing
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience with one or more query languages (for example SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting languages (for example Python, KornShell)

Technologies

  • SQL, Python, Spark, Redshift
  • Oracle, NoSQL
  • PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala
  • KornShell
  • AWS
  • Amazon Q, Kiro
  • Hadoop, Hive, EMR
  • Informatica, ODI, SSIS, BODI, Datastage

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance (medical, dental, vision, prescription, Basic Life and 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
  • Parental leave

Preferred Qualifications

  • Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
  • Experience with ETL tools including Informatica, ODI, SSIS, BODI, and Datastage

A Day in the Life

In this role, you will own end-to-end data pipelines and infrastructure that serve as the “source of truth” for warehouse automation and customer packaging metrics. You will design, build, and operate robust, scalable ETL/ELT solutions that integrate complex data from dozens of sources to support data-driven decisions across the Robotics Delivery and Packaging Innovation Organization.

You will collaborate with Business Intelligence Engineers, Data Scientists, Software Engineers, Product Managers, and Operations teams to translate raw requirements into reliable pipelines and trusted datasets used throughout the organization. You will also champion data quality and security practices, ensuring stakeholders can rely on the data while sensitive operational information remains protected throughout its lifecycle.

Job Details

  • Location: Bellevue, WA (onsite)
  • Compensation: USD 101,300 - 160,000 per yearly
  • Minimum experience: 1 years

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