Sr. Data Engineer

Amazon.com Services LLC; Boulder (CO); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance: medical, dental, and

Vision

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Boulder, CO is seeking a senior data engineer to build and operate scalable ingestion pipelines connecting agencies, vendors, and internal sources. You will define schemas, ensure data quality, and support downstream analytics for AI-enabled marketing workloads.

The role requires strong SQL, proficiency in Python/Java/Scala/NodeJS, and experience with Hadoop ecosystems. Onsite work in Boulder is expected, with RSU and sign-on offerings included.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Proficiency with SQL.
• Experience with Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Responsibilities

• Design, build, and operate scalable data ingestion pipelines that pull 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, evolve, and maintain 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 cleanup
• Manage real-world data complexity, including delayed settlement, hierarchy mapping, and selection of planned versus finalized data
• Work with modeling and AI engineers to ensure the dataset supports 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-driven
• Partner 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

Skills

5+ years experience

Data modeling

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Mentoring team

Tools

Hadoop

Hive

Spark

EMR

Job description

Build and run the data foundation behind AI-enabled marketing analytics, including ingestion, normalization, and reliability for sources across agencies, vendors, and platforms.

Responsibilities

• Design, build, and operate scalable data ingestion pipelines that pull 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, evolve, and maintain 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 cleanup
• Manage real-world data complexity, including delayed settlement, hierarchy mapping, and selection of planned versus finalized data
• Work with modeling and AI engineers to ensure the dataset supports 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-driven
• Partner 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, 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

Compensation and Location

• Location: Boulder, CO (onsite)
• Base salary range: USD 154,600 - 209,100 per year
• Application deadline: Sep 21, 2026

A Day in the Life

• Review pipeline health and address data quality alerts to prevent downstream impact
• Onboard a new external source by reverse-engineering a partner feed and designing schema integration into the shared dataset
• Meet with a data provider to close gaps in their feed, then review a teammate’s pull request
• Prototype improved ingestion-time detection for bad records
• Operate with autonomy while establishing patterns for others building on the service