Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Company Overview:
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Your Role:
The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth.
You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners,



and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.
You'll:
Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard
Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse
Own the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performance
Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled, documented dbt or Dataform pipelines, with standardized naming conventions and metric definitions across platforms and clients
Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions, automated testing)



for robust, version-controlled releases, and enforce strict data segregation across multi-client environments
Enable the reporting layer — create clean, performant data views built specifically for fast Looker Studio dashboards and automated Google Sheets reports, and partner with the Data and Analytics Manager and client teams to translate reporting requirements into warehouse models
Drive data quality — monitor pipeline health, resolve API breaks, minimize latency, implement validation frameworks and automated testing, troubleshoot discrepancies to root cause across source/warehouse/BI layers, and proactiveexperience.Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.Results-oriented with strong attention to detail, adaptability, and a sense of urgency.Ability to collaborate effectively while exercising sound judgment and maintaining confidentiality.Familiarity with recruiting metrics and data to support hiring decisions and continuous improvement.Knowledge of employment practices and recruiting compliance is preferred.
Compensation & Benefits
Final compensation will be based on experience and geographic location.
Kelly is an equal opportunity employer committed to building a diverse, equitable, and inclusive workforce, including individuals of all races, genders, abilities, protected veteran status, sexual orientations, and gender identities.
Equal Employment Opportunity is The Law.
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📌 Data Engineer (Marketing-Oriented) | Remote For Marketing Agency For Education (Neuquén)
🏢 Rural King
📍 Neuquén