Remote Senior Data Engineer - Marketing Analytics

Arionkoder; Santa Fe Capital; Remote; ARS 153,735,000 - 215,229,000; Full time

Benefits offered by this job

Remote role

Competitive compensation

High-visibility role on scaling team

Ownership over reporting infra

Impact on education/nonprofit partners

Job summary

Arionkoder is seeking a Senior Data Engineer (Marketing-oriented) to own end-to-end data pipelines from paid media to Looker Studio dashboards. You’ll connect ad platforms, CRM systems, and a BigQuery warehouse, building modular dbt/Dataform pipelines and reliable ETL processes.

Remote role with international teams and a strong emphasis on data quality and scalable reporting. You will work with Adverity and custom connectors, ensure data segregation across clients, and translate complex data

Qualifications

• 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment.
• Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel).
• Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling.
• Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines.
• Python proficiency for custom API connections and pipeline automation.
• Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot).
• A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance.
• Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation.
• An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valued.

Responsibilities

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms into Adverity, build custom Python connectors, and architect scalable pipelines from source to dashboard.
• Own CRM integration— build and maintain reliable CRM data connections 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 multi-source marketing data; manage partitioning, clustering, and storage strategy.
• Own transformation & mapping— build SQL schemas that map, blend, and organize multi-channel data for each client in modular, version-controlled pipelines.
• Own CI/CD & data segregation— maintain CI/CD pipelines (GitHub Actions, automated testing) for robust, version-controlled releases, and enforce data segregation across multi-client environments.
• Enable the reporting layer— create clean, performant data views for Looker Studio dashboards and automated Google Sheets reports, translating requirements into warehouse models.
• Drive data quality— monitor pipeline health, resolve API breaks, minimize latency, implement validation/testing, troubleshoot discrepancies across layers.

Skills

Data engineering

BigQuery

SQL

dbt/Dataform

Python

Adverity

CRM integrations

Looker Studio

Git

Tools

Adverity

Fivetran

Supermetrics

GitHub Actions

BigQuery tooling

Job description

Arionkoder is seeking a Senior Data Engineer (Marketing-oriented) to own end-to-end data pipelines from paid media to Looker Studio dashboards. You’ll connect ad platforms, CRM systems, and a BigQuery warehouse, building modular dbt/Dataform pipelines and reliable ETL processes.

Remote role with international teams and a strong emphasis on data quality and scalable reporting. You will work with Adverity and custom connectors, ensure data segregation across clients, and translate complex data