Sr. Data Engineer

Amazon.com Services LLC is hiring a Sr. Data Engineer (onsite) to build an AI-native marketing data foundation across agencies, vendors, and platforms.

Responsibilities

• Design, build, and operate scalable data ingestion pipelines that collect marketing data from agencies, ad tech vendors, and internal sources on scheduled intervals
• Ingest data without requiring source teams to change their existing processes
• Define and evolve input schemas and normalization logic to reconcile inconsistent granularity, formats, and terminology into a unified dataset
• Implement automated data quality validation, anomaly detection, and reconciliation to surface defects early and reduce manual auditing and cleaning
• Manage real-world data complexity including delayed settlement, mapping records to correct hierarchies, and choosing between planned versus finalized data
• Collaborate with modeling and AI engineers to structure the data foundation for downstream analytics, agent orchestration, and natural-language query
• Instrument pipelines for observability, freshness/SLA monitoring, and low-touch operations so adding new sources is primarily configuration work
• Work with data providers and stakeholders to onboard new feeds and improve timeliness, completeness, and accuracy
• Support a phased rollout starting with a core set of sources and expanding over time

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Proficiency with SQL
• Experience with at least one modern scripting or programming language: Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Technologies

• SQL
• Python
• Java
• Scala
• NodeJS
• Hadoop
• Hive
• Spark
• EMR

Preferred Qualifications

• Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
• Experience operating large data warehouses

Benefits

• 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

Location and Salary

• Location: Boulder, CO (onsite)
• Base salary range: USD 154,600 - 209,100 per year
• Country/State: USA, CO, Boulder

Application Deadline

Sep 21, 2026

A Day in the Life

• Review pipeline health and resolve data quality alerts before downstream impact
• Onboard a new external source by reverse-engineering a messy partner feed and designing schema changes for the shared dataset
• Meet with a data provider to address feed gaps, then review a teammate’s pull request
• Prototype improved ingestion-time detection for bad records
• Work with real autonomy while building the service from scratch, establishing patterns others can build on