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Data Engineer II, DASH Device Operations

Amazon· Device Operations & Supply Chain
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Mexico Cityfull-timePosted 4mo ago

About the role

Data Engineer to design, build, and operate large-scale, high-performance data infrastructure supporting analytics, AI/ML workloads, and intelligent automation for Device Operations. Focus on data modeling, ETL/ELT, real-time and batch pipelines, and AI-ready data foundations.

Responsibilities

  • Design, implement, and operate scalable data pipelines (batch and real-time) for analytics, reporting, and AI/ML workloads
  • Build and maintain data infrastructure that supports AI-ready datasets structured for machine learning models, agents, and natural language interfaces
  • Interface with technology teams to extract, transform, and load data from diverse sources using SQL, Python, and distributed computing frameworks
  • Implement data models and ETL/ELT processes using dimensional modeling, data vault, or hybrid approaches on MPP data warehouses
  • Build robust data integration pipelines using SQL, Python, and Spark across batch and streaming paradigms
  • Design and deliver high-quality datasets that support business analysis, customer reporting, and AI/ML feature engineering
  • Partner with scientists and application engineers to ensure data infrastructure supports ML training, inference, and agentic automation
  • Interface with business customers, gather requirements, and deliver complete, well-documented data solutions
  • Evaluate and decide on dataset designs, pipeline architectures, and tooling proposed by peer engineers
  • Produce comprehensive dataset documentation, metadata, and data lineage artifacts
  • Mentor junior data engineers on best practices in data engineering, code quality, and operational excellence
  • A day in the life: work across the full spectrum of data engineering, collaborate with scientists, BI engineers, and developers to solve problems spanning traditional analytics and intelligent systems
  • Collaborate with teams to enable new AI/ML capabilities by making data accessible, reliable, and well-governed.

Qualifications

  • Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
  • 4+ years of data engineering, database engineering, BI or analytics experience
  • Experience in writing complex, highly-optimized SQL queries across large datasets
  • 4+ years of development/programming/scripting language experience (Python/Java/Bash/Perl)
  • Experience in data warehouse architectures, data modeling, ETL/ELT, and reporting/analytic tools
  • Experience in Redshift, or Hive/Spark/HBase/Yarn and Kafka
  • Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
  • Knowledge of distributed systems as it pertains to data storage and computing

Skills

Required:SQLPythonSparkETL/ELT designData modelingAWS

Benefits

  • Inclusive culture with accommodations available during application and hiring process (link provided)
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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