Data Engineer, CIA-Core Engine

Socket.dev; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon Austin is seeking a Data Engineer to build and maintain large-scale data pipelines feeding our data lake and analytics platforms. You will collaborate with network and infrastructure teams to gather data requirements and deliver robust ETL solutions.

The role emphasizes data governance, security, and high-availability operations, with opportunities to influence architectural decisions and evolve our data engineering practices.

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).

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.

Skills

Data engineering

Data modeling

ETL pipelines

Python

Big data: Spark/Hadoop

Education

Bachelor's degree

Tools

Spark

Hadoop

AWS services

Job 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.

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

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

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets.

If you’re passionate about this role and want to make an impact on a global scale.

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