Remote Senior Data Engineer: Marketing Analytics & Big Data

Lever, Inc.; La Pampa; Remote; ARS 91,155,000 - 151,925,000; Full time

Benefits offered by this job

Remote role

Competitive compensation

Job summary

Lever, Inc. is seeking a Senior Data Engineer (Marketing-oriented) to unify data from paid media and CRM into a single source of truth.

You will manage ingestion pipelines from Meta, Google Ads, LinkedIn, TikTok, and more into Adverity, then into a BigQuery warehouse, with dbt/Dataform transformations powering Looker Studio dashboards. The role emphasizes CI/CD, data segregation across clients, and scalable reporting for education and nonprofit clients.

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 schemas for multi-source marketing data; manage partitioning and storage strategy to control cost and performance.
• Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data in modular, version-controlled pipelines with standardized naming conventions.
• Own CI/CD & data segregation — maintain CI/CD pipelines for robust releases and enforce strict data segregation across multi-client environments.
• Enable the reporting layer — create clean data views for Looker Studio dashboards and Google Sheets reports, translate requirements into warehouse models.
• Drive data quality — monitor pipelines, resolve API breaks, minimize latency, implement validation and testing, flag data quality risks.

Skills

SQL

BigQuery

dbt/Dataform

Python

Adverity

CRM integration

ETL platforms

Git

Looker Studio

Data pipelines

Tools

Adverity

Fivetran

Supermetrics

Funnel

Job description

Lever, Inc. is seeking a Senior Data Engineer (Marketing-oriented) to unify data from paid media and CRM into a single source of truth.

You will manage ingestion pipelines from Meta, Google Ads, LinkedIn, TikTok, and more into Adverity, then into a BigQuery warehouse, with dbt/Dataform transformations powering Looker Studio dashboards. The role emphasizes CI/CD, data segregation across clients, and scalable reporting for education and nonprofit clients.