Data Engineer I, OTS - Data ANCHOR Team

Amazon•Austin, TX

9d•Onsite

About The Position

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact — creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus. As a Data Engineer, you will collaborate to build and maintain scalable data pipelines and data infrastructure that power AI-driven operational insights and business insights, Science initiatives across Amazon's global fulfillment and maintenance networks. You will build and implement ETL/ELT pipelines, collaborate with Data Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to AI ready data initiatives and improve our best data practices — including data versioning, pipeline monitoring, and model retraining data support — and help execute against our engineering best practices within the team. You will support day to day business and internal engineering teams by building curated, analysis-ready models and datasets and enabling self-service data access through well-governed data infrastructure. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations.

Requirements

Currently has, or is in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Knowledge of general AI tools

Nice To Haves

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Master's degree
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
Contribute to data governance and quality standards across analytical and ML data products.
Support implementation automated reporting, diagnostic, predictive, and prescriptive analytics.
Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
Collaborate with Program Managers, BI teams, Data Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
sign-on payments
restricted stock units (RSUs)
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
parental leave