Data Engineer II, Amazon Shipping

Amazon • Bellevue, WA

1d

About The Position

Amazon’s global fulfillment network enables any merchant to ship items that are
ordered on Amazon to any place on earth. There is a complex network of ways in
which items move between vendor locations, Amazon warehouses, and customer
locations as well as several intermediate locations through which packages
travel before reaching the customer. With a scale of millions of packages, each
with different attributes and delivery requirements, what results is a highly
dense graph of nodes.

We have built a highly respected BI and Data Engineering team which is focused
on solving complex problems in worldwide transportation using workflows,
optimization algorithms, and machine learning systems. These are large-scale
distributed systems handling millions of packages being shipped through the
Amazon logistics network.

As an experienced Data Engineer, you will own expanding and building a new
cutting edge data architecture which will fuel the exponentially growing Amazon
Shipping business world wide. You will identify gaps in the current
architecture, and data and help bridge them. You will also help improve the
overall data quality in the organization by identifying improvement
opportunities in existing data alarming capabilities and anomaly tracking
processes in the org. Additionally, you will collaborate with stakeholders and
cross-functional teams to understand data needs and ensure effective use of
tools and insights. You will also be responsible for mentoring other L4 DEs in
the org.

Requirements

• 3+ years of data engineering experience
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience with data modeling, warehousing and building ETL pipelines
• Experience working on and delivering end to end projects independently
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
• Experience with Redshift, Oracle, NoSQL etc.

Nice To Haves

• 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)

Responsibilities

• Modern Data Architecture: Design and evolve cloud-native data platforms, including SWA’s Data Lakehouse architecture, integrating Redshift, Lake Formation, and Glue to enable both batch and near real-time analytics.
• Smart Data Integration: Build resilient, scalable pipelines that unify fragmented data sources into governed, domain-aligned datasets. Implement data contracts, observability, and schema evolution to ensure trust and reusability.
• Automated DataOps: Drive automation across the data lifecycle—pipelines, quality checks, lineage tracking, and anomaly detection—using tools like AWS CDK, Airflow, Deequ, and Quicksight APIs.
• Insight Acceleration: Partner with science and analytics teams to enable ML-ready datasets and advanced diagnostics. Build frameworks that accelerate experimentation, forecasting, and optimization models.
• Strategic Data Partnership: Embed with Product, Tech, Ops, and Finance stakeholders to translate business objectives into data products and insights. Influence roadmaps through data-led storytelling.
• Tech Leadership & Evangelism: Evaluate emerging AWS and open-source technologies, champion best practices, and contribute to defining data standards across Amazon Shipping.
• Mentorship & Uplift: Uplevel the org by coaching BIEs, DEs, and PMs on scalable data design, performance tuning, and solutioning. Foster a culture of experimentation, ownership, and continuous learning.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed