Senior Node.Js/Typescript Backend Engineer — Remote & Growth

Bluelight Consulting; Santa Fe Capital; A distancia; ARS 1.800.000 - 3.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive compensation

Descripción de la vacante

Bluelight Consulting is seeking a Senior Data Engineer focused on marketing data to unite ad accounts, CRMs, and analytics into a single source of truth. You’ll architect scalable data pipelines, integrate CRM systems, and design BigQuery schemas to support fast Looker Studio dashboards.

The role emphasizes data quality, modular transformations, and multi-client data segregation in a distributed, async team with remote flexibility.

Formación

• 5+ years of hands-on data engineering in marketing or agency environments.
• Experience configuring datastreams, transformations and destinations in ETL platforms (Adverity, Fivetran, Supermetrics, Funnel).
• Intermediate/Advanced SQL with BigQuery experience in transformation, partitioning and modeling.
• Expertise in dbt or Dataform with modular, version-controlled pipelines.
• Python for custom API connections and pipeline automation.
• CRM data flows integrations (Slate, Salesforce, HubSpot).
• Strong understanding of marketing metrics (ROAS, CPA, CAC) and Pay platform schemas.

Responsabilidades

• Own data ingestion & pipeline architecture — connect and maintain API pipelines into Adverity and build custom Python connectors.
• Own CRM integration — connect Slate, Salesforce, HubSpot to feed the warehouse.
• Own the data warehouse — manage BigQuery schemas, partitioning, and storage strategy.
• Own transformation & mapping — develop modular, documented dbt/Dataform pipelines with consistent naming.
• Own CI/CD & data segregation — maintain GitHub Actions and multi-client data isolation.
• Enable the reporting layer — create data views for Looker Studio and automated Sheets reports.
• Drive data quality — monitor pipelines, validate data, and flag quality risks to leadership.

Conocimientos

Data engineering

SQL

BigQuery

dbt or Dataform

Python

Adverity / ETL

CRM data flows

Git

Communication

Marketing metrics

Herramientas

Adverity

Fivetran

Supermetrics

Funnel

dbt

Dataform

BigQuery

Looker Studio

Git

Descripción del empleo

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 2020, 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.

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, 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 proactively flag data quality risks to leadership

You Bring:

• 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

Bonus Points:

• Experience integrating AI‑driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utility

• Familiarity using AI or LLM tools to optimize performance forecasting, automated audience segmentation, or marketing workflows

• Experience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architecture

• Experience using AI/ML‑driven anomaly detection to monitor pipelines and proactively flag data quality issues

What’s Offered:

• Remote role with the flexibility that comes with a distributed, async‑friendly team

• Competitive compensation based on experience and location