Sr. Data Engineer

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 #J-18808-Ljbffr