Data Engineer, CIA-Core Engine

Amazon; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Medical/Dental/Vision Coverage

PTO (Paid Time Off)

401(k) Plan

Parental Leave Options

Job summary

Amazon is seeking a Data Engineer to design and maintain large-scale data systems powering its global network and device infrastructure. You will develop robust pipelines, implement ETL, and collaborate with network engineering teams to meet analytical needs.

Role emphasizes data quality, governance, and security while participating in architecture discussions and evolving data engineering practices across the organization.

Qualifications

• 3+ years of data engineering experience with end-to-end ETL and data pipelines.
• Experience in data modeling, warehousing, and building scalable ETL solutions.
• Bachelor's degree in a relevant technical field or foreign equivalent.

Responsibilities

• Develop and maintain data pipelines ingesting data into our data lake, with ETL to cleanse and enrich data.
• Design scalable data solutions focusing on performance, quality, and reliability with cross-functional teams.
• Implement data quality controls, metadata management, and data lineage for governance and security.
• Establish data governance and security measures to protect sensitive information and ensure regulatory compliance.
• Monitor data infrastructure to identify and resolve issues, maintaining high availability.

Skills

3+ years data engineering

Data modeling & warehousing

Python development

Spark/Hadoop

ETL pipelines

Education

Bachelor's degree in computer science, engineering, analytics, or related field

Tools

AWS Cloud Services

Spark/Hadoop

Data lake / data warehouse tooling

Job description

Job ID: 10503757 | Amazon.com Services LLC

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.

Key job responsibilities

• 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

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

About the team

We are a team dedicated to delivering flexible, low-touch, cost-efficient infrastructure products by leveraging data, analytics, and automation. Our systems reach across all global core services and infrastructure within Operations Technology, enabling over 100,000 Amazonians and all Amazon fulfillment centers worldwide. We're building solutions that require minimal long-term maintenance while solving complex infrastructure challenges. When you join us, you'll work alongside network engineers, infrastructure specialists, and fellow data engineers who are dedicated to making our operations more efficient and scalable. Collectively, we’re shaping the future of how Amazon's operations are supported through intelligent data systems.

Basic Qualifications

• 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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 132,100.00 - 178,800.00 USD annually