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Senior Ad Ops Engineer

Job

OREGON EMPLOYMENT DEPARTMENT

Salem, MA (In Person)

Part-Time

Posted 5 weeks ago (Updated 4 weeks ago) • Actively hiring

Expires 5/28/2026

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Job Description

Job Listing ID:
4474871
Job Title:
Senior Ad Ops Engineer Application Deadline:
Open Until Filled
Job Location:
Salem
Date Posted:
04/17/2026
Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)
Job Summary:
Job Description The Role As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will be responsible for architecting and developing advanced, well managed, and reusable data products that support marketing activation, analytics, and insights. You will work extensively with marketing platform data, partner data feeds, and non-standard data formats to build reliable, scalable data pipelines and storage solutions. This role requires deep hands-on experience with marketing ecosystems, digital advertising data structures, and agency or platform-side operations. You will also be responsible for implementing automated data quality and validation frameworks, including LLM-powered agents focused solely on data consistency, anomaly detection, and schema integrity. This includes integrating these validation systems directly into production pipelines to ensure accuracy, observability, and compliance across all marketing datasets. Additionally, the Senior Ad Ops Engineer will integrate with third-party marketing platforms and APIs, support data discovery across inconsistent partner datasets, and build solutions that provide clean, trustworthy data for activation, measurement, and optimization. What You'll Do
  • Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats
  • Implement data models, storage patterns, and orchestration workflows that support campaign activation, attribution, measurement, and analytics
  • Build and maintain automated data quality and validation systems using LLM-based and rule-based approaches
  • Integrate and normalize data from marketing platforms, digital agencies, and third-party partners, ensuring performance, reliability, and consistency
  • Develop ingestion frameworks for log-level data, event streams, pixel files, and other marketing specific formats
  • Establish and maintain data governance practices including schema tracking, lineage awareness, metadata standards, and privacy compliance
  • Build observability into pipelines with logging, monitoring, and anomaly detection for operational stability
  • Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree (Master's preferred) in Computer Science, Data Engineering, Information Systems, or a related technical field
  • 5+ years of experience in data engineering, advertising technology engineering, or marketing data engineering
  • 2+ years of experience working with digital advertising, marketing analytics, digital agencies, or marketing activation platforms
  • Experience with marketing or ad tech ecosystems such as Yahoo, Google, Meta, The Trade Desk, Adobe, Salesforce, or similar
  • Proficiency in Python, SQL, and distributed data frameworks such as PySpark
  • Hands-on expertise working with non-standard marketing data formats, including log-level ad server files, event streams, pixel data, or partner exports
  • Experience with modern data platforms such as Databricks, Snowflake, Kafka, dbt, or Airflow
  • Experience architecting solutions in cloud environments (Azure preferred; AWS/GCP acceptable)
  • Strong understanding of data modeling, warehousing, governance, schema evolution, and data reliability practices
  • Experience building automated or agentic data quality validation systems, including LLM-driven or rules-based frameworks
  • Ability to translate complex marketing data needs into scalable, production-ready engineering solutions What Will Give You A Competitive Edge (Preferred Qualifications)
  • Master's degree i.
..
Job Classification:
Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Not Provided Job Requirements
Experience Required:
 See Job Summary
Education Required:
None
Minimum Age:
N/A Gender:
N/A

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