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Amazon S3 Data Jobs

2 jobs found

1mo ago

Data Engineer

Amazon.com Services LLC Austin, TX

Austin, TX

1mo ago Closed

$126k - $179k/yr Full time Amazon S3 Analytics AWS

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Data Engineer at Amazon.com Services LLC onsite in Austin, TX offers the opportunity to build scalable data pipelines and ML ready infrastructure that enable GenAI powered analytics across Amazon's Operations Technology ecosystem. The role provides a competitive salary range and on-site collaboration in a dynamic environment. Salary: USD 125,500 - 178,800 per year. Location: Austin, TX.

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Role overview

The Data Engineer will design, build, and maintain production grade ETL and ELT pipelines alongside big data infrastructure that underpins operational intelligence for the Operations Technology stack. You will create ML ready data pipelines and feature engineering workflows to support Data Science experimentation and production model serving. You will contribute to data governance and quality standards and help implement GenAI driven reporting, diagnostics, predictions, and prescriptive analytics. You will also shape semantic layers and dashboard data models that guide global operations decisions, collaborating with program managers, BI teams, ML engineers, data scientists, and operational stakeholders to align work with OTS goals.

Responsibilities

Design, build, and maintain production grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
Develop feature engineering workflows and ML ready data pipelines for experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Build and maintain semantic layers and dashboard data models that power worldwide operations decisions.
Partner with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS goals.
Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

3+ years of data engineering experience
3+ years developing and operating large-scale data structures for business intelligence analytics using data modeling experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or equivalent experience building and maintaining data flows and pipelines
Proficiency in Python and SQL; experience with PySpark or Apache Spark
Experience with infrastructure as code (CDK, CloudFormation) and CI/CD pipelines for data and ML systems
Experience with data modeling and relational/non-relational database design

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
Python
SQL
PySpark
Apache Spark
CDK
CloudFormation

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1mo ago

Data Engineer, WW Pricing - Data & Analytics

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

$132k - $179k/yr Full time Amazon S3 Analytics AWS

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

The Data Engineer role within WW Pricing Data & Analytics at Amazon focuses on building data pipelines and ML data infrastructure to support pricing algorithms and reporting, collaborating with data scientists and business analysts across pricing initiatives.

Location

Seattle, WA (onsite)

Compensation

USD 132,100 - 178,800 per year