Data Engineer — Austin, TX at Amazon

About the Team

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, directly supporting Amazon's global customer commitment. We operate at the intersection of large-scale data processing and real-world operational impact, creating intelligence that influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.

About the Role

As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global fulfillment and maintenance networks. This is a high-impact individual contributor role with significant opportunity to grow technical scope and organizational influence at the intersection of data engineering, Data Science, and AI.

You will partner with ML Engineers, Data Scientists, Applied Scientists, and Business Intelligence Engineers to deliver data products that drive measurable business outcomes. Your work will directly enable the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations. You will contribute to MLOps data practices, including data versioning, pipeline monitoring, and model retraining data support, while helping establish engineering best practices within the team.

Hiring Process

If you are not sure that every qualification on the list 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, please apply.

Equal Opportunity

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 amazon.jobs for more information.

Work location

Work model: On-site

2110, Griswold Lane, Austin, Travis County, Texas, 78703, United States

Austin, Texas

Key Responsibilities

check_circleDesign and build production-grade ETL/ELT pipelines and big data infrastructure
check_circleBuild feature engineering workflows and ML-ready data pipelines for model serving
check_circleContribute to data governance and quality standards for analytical and ML data products
check_circleSupport implementation of GenAI solutions for automated reporting and predictive analytics
check_circleBuild and maintain semantic layers and dashboard data models for business decisions
check_circlePartner with stakeholders to prioritize work aligned with operational business goals
check_circleFollow and contribute to data engineering best practices including code reviews and testing

Requirements

verified3+ years of data engineering experience
verified3+ years of developing and operating large-scale data structures for business intelligence analytics
verifiedExperience with data modeling, warehousing and building ETL pipelines
verifiedExperience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM)
verifiedExperience with data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, data structures, and hands-on SQL coding
verifiedBachelor's degree or above in computer science, machine learning, engineering, or related fields, or equivalent experience building and maintaining data flows and pipelines
verifiedProficiency in Python and SQL; experience with PySpark or Apache Spark
verifiedExperience with infrastructure-as-code (CDK, CloudFormation) and CI/CD pipelines for data and ML systems

Nice to Have

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases). Master's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.

Benefits & Perks

check_circleMedical, dental, and vision coveragecheck_circleMaternity and parental leave optionscheck_circlePaid time off (PTO)check_circle401(k) plan with company matchingBasic Life and AD&D insurance

Skills, education and keywords

Skills: Data Engineering, Data Modeling, Warehousing, Etl, Elt, Aws, Redshift, S3, Aws Glue, Emr.

Education: Bachelor's degree or above in CS, ML, engineering, or related fields, or equivalent experience; Master's degree or above in CS, engineering, analytics, math, statistics, IT, or equivalent.

Frequently asked questions about Data Engineer, OIS/CXI Analytics at Amazon

What does a Data Engineer, OIS/CXI Analytics at Amazon do?expand_more

Day-to-day, the Data Engineer, OIS/CXI Analytics at Amazon will design and build production-grade etl/elt pipelines and big data infrastructure; build feature engineering workflows and ml-ready data pipelines for model serving; contribute to data governance and quality standards for analytical and ml data products; and support implementation of genai solutions for automated reporting and predictive analytics.

What are the requirements for this Data Engineer, OIS/CXI Analytics role?expand_more

Amazon is looking for candidates who meet the following requirements: 3+ years of data engineering experience; 3+ years of developing and operating large-scale data structures for business intelligence analytics; Experience with data modeling, warehousing and building ETL pipelines; Experience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM); Experience with data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, data structures, and hands-on SQL coding; and Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or equivalent experience building and maintaining data flows and pipelines.

Where is the Data Engineer, OIS/CXI Analytics role at Amazon located?expand_more

Data Engineer, OIS/CXI Analytics at Amazon is based in 2110, Griswold Lane, Austin, Travis County, Texas, 78703, United States. This is a on-site role.

Is this Data Engineer, OIS/CXI Analytics job remote, hybrid, or on-site?expand_more

Amazon has listed this Data Engineer, OIS/CXI Analytics role as on-site.

How much experience is required for this Data Engineer, OIS/CXI Analytics role?expand_more

Data Engineer, OIS/CXI Analytics at Amazon typically requires 3+ years of relevant experience at the mid level level.

What skills do you need for the Data Engineer, OIS/CXI Analytics role at Amazon?expand_more

Key skills for Data Engineer, OIS/CXI Analytics at Amazon include Data Engineering; Data Modeling; Warehousing; Etl; Elt; Aws; Redshift; and S3.

What education is required for Data Engineer, OIS/CXI Analytics at Amazon?expand_more

Educational requirements for this role: Bachelor's degree or above in CS, ML, engineering, or related fields, or equivalent experience; and Master's degree or above in CS, engineering, analytics, math, statistics, IT, or equivalent.

What category does the Data Engineer, OIS/CXI Analytics role belong to?expand_more

Data Engineer, OIS/CXI Analytics at Amazon is part of the it job category on Recrutus.

Data Engineer, OIS/CXI Analytics