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# Data Engineer, CIA-Core Engine

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $132,100.0 - $178,800.0
- **Contract:** Temporary contract
- **Skills:** Amazon S3, Data Analysis, Big Data, Databases, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Stores, Data Systems, Graph Database, Apache Hadoop, Identity and Access Management, Python (Programming Language), Meta-Data Management, System Availability, Apache Spark, Electronic Medical Records, Data Lakes, Information Technology, Data Lineage, AWS Glue, Non-relational Database, Data Pipelines, Amazon Redshift
- **Published:** August 18, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27943224/Data-Engineer-Cia-Core-Engine-Texas-Austin-7375

## About the Role

3+ years of data engineering experience

 - Experience with data modeling, warehousing and building ETL pipelines
 - Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
 - Proficient in Python development
 - Experience with big data technologies (Spark/Hadoop)

Preferred Qualifications

 - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

## Description

Join our Operations Technology Infrastructure Engineering team and help build the invisible scaffolding that powers Amazon's global network and device infrastructure. As a Data Engineer, you'll design and maintain large-scale data systems that enable thousands of Amazonians and guide operations across Amazon's fulfillment network worldwide., As a Data Engineer on our team, you'll focus on developing and maintaining robust data pipelines that ingest information from diverse sources into our data lake. You'll work on implementing ETL processes that cleanse, transform, and enrich data to support analytical needs across the organization. Your day involves partnering with network engineering teams to grasp their data requirements, designing scalable solutions, and ensuring data quality through governance and security measures. You'll also monitor our data systems to identify and resolve issues promptly, keeping our infrastructure running smoothly. Beyond routine tasks, you'll participate in architectural discussions, evaluate data solutions proposed by peers, and contribute to evolving our data engineering practices as technologies and industry standards advance., Develop and maintain data pipelines that ingest data from various sources into our data lake, implementing ETL processes to cleanse, transform, and enrich data for analytical purposes

 - Design scalable data solutions focusing on performance, quality, and reliability while partnering with cross-functional teams to comprehend business requirements
 - Implement data quality controls, metadata management, and data lineage tracking to ensure data integrity, compliance, and accessibility across the organization
 - Establish data governance and security measures to protect delicate information and ensure compliance with regulatory requirements
 - Monitor data infrastructure to identify and resolve issues promptly, maintaining high availability and reliability of our data systems


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