Data Engineer, Robotics Delivery and Packaging Innovation

The Robotics Delivery and Packaging Innovation team is building reliable data foundations for warehouse automation and customer packaging. As a Data Engineer in Bellevue, you will design, build, and run end-to-end ETL/ELT pipelines that feed a “source of truth” data store and metrics consumers can trust for reporting and decision-making.

This onsite role supports scalable pipeline development, strong data quality and security, and practical enablement for analytics across the organization.

What you’ll do

• Build and maintain end-to-end ETL/ELT pipelines using SQL, Python, and Spark to power automated reporting for warehouse automation and customer packaging
• Work with other technology teams to extract, transform, and load data from a wide range of sources spanning warehouse automation and customer packaging
• Apply best practices in data modeling, ETL/ELT processes, SQL, and Redshift while managing “source of truth” data stores
• Implement best practices for batch and real-time processing to keep pipelines performant
• Deliver trustworthy datasets through data quality practices including validation, deduplication, PII handling, drift detection, and monitoring
• Build data security and access controls to protect sensitive operational and performance data across its lifecycle
• Model data and metadata to support both ad-hoc and pre-built reporting, and produce high-quality datasets for Business Intelligence Engineers, Data Scientists, and customer reporting
• Manage and optimize AWS cloud computing resources for the data infrastructure
• Use AI-assisted development tools such as Amazon Q and Kiro to accelerate pipeline development and debugging, while validating generated output for correctness
• Create extensible, easy-to-maintain designs with a long-term vision that can support future machine learning and GenAI use cases
• Participate in strategic and tactical planning discussions

Requirements

• 1+ years of data engineering experience
• 2+ years analyzing and interpreting data with experience using Redshift, Oracle, and/or NoSQL
• Bachelor’s degree in a quantitative/technical field such as computer science, engineering, or statistics
• Knowledge of distributed systems as it relates to data storage and computing
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
• Experience with one or more scripting languages such as Python or 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 & 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 including Hadoop, Hive, Spark, and EMR
• Experience with one or more ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage

Location: Bellevue, WA (onsite)
Estimated salary: USD 101,300 - 160,000 per year