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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

Amazon.com Services LLC is seeking a Data Engineer to design scalable data pipelines and ML-ready infrastructure that enable GenAI-powered analytics across its Operations Technology ecosystem. This onsite role in Austin, TX focuses on delivering robust data platforms that support global operations and data-driven decision making. The position offers an annual salary range of USD 125,500 to 178,800.

Responsibilities

Design, implement, and maintain production-grade ETL/ELT pipelines and scalable big data infrastructure that underpin Operations Technology operational intelligence.
Develop feature engineering workflows and ML-ready data pipelines to support data science experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Assist in deploying GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Build and maintain semantic layers and dashboard data models that inform global operations decisions.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS goals.
Adhere to and contribute to data engineering best practices, including code reviews, testing, monitoring, and documentation.

Requirements

At least 3 years of data engineering experience.
At least 3 years of developing and operating large-scale data structures for business intelligence analytics with data modeling experience.
Experience in data modeling, data warehousing, and building ETL pipelines.
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
Background in data warehouse architectures, data modeling, infrastructure components, ETL/ELT processes, reporting and analytic tools, data structures, and hands-on SQL coding.
Bachelor’s degree or higher 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

Benefits

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

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1mo ago

Data Engineer, WW Pricing - Data & Analytics

Amazon.com Services LLC Seattle, WA

Seattle, WA