Data Engineer (Exp. En Banca)

Engg; La Pampa; A distancia; ARS 122.300.000 - 168.162.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive compensation

High-visibility role

Impactful data platform

Collaborative culture

Direct impact

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integration, and pipelines for a marketing‑oriented education sector project. You will connect ad platforms, CRM systems, and a cloud data warehouse to deliver scalable, reliable analytics.

The role blends data engineering, software craftsmanship, and customer‑facing collaboration in a fast‑growing, remote team. You will design and implement ingestion pipelines, dbt/Dataform transformations, and CI/CD practices to support

Formación

• 5+ years of hands-on data engineering experience in marketing or agency environments.
• Proficient in configuring datastreams and transformations in Adverity or similar ETL platforms.
• Intermediate to advanced SQL with BigQuery experience in transformation and modeling.
• Expertise in dbt or Dataform for modular, version-controlled pipelines.
• Python proficiency for custom API connections and automation.
• CRM data flows and integrations (Slate, Salesforce, HubSpot).
• Strong knowledge of ROAS, CPA, CAC metrics and platform schemas for Looker Studio optimization.
• Git-based workflows and multi-client data environments with strict segregation.

Responsabilidades

• Own data ingestion & pipeline architecture from paid media to warehouse and dashboards.
• Maintain reliable CRM connections to feed lead/enrollment data into the warehouse.
• Own the data warehouse in BigQuery, design efficient schemas and manage partitioning.
• Own transformation & mapping with modular dbt/Dataform pipelines and consistent naming.
• Maintain CI/CD pipelines and enforce data segregation across multi-client environments.
• Enable the reporting layer with Looker Studio dashboards and automated sheets.
• Drive data quality with monitoring, validation, and discrepancy root-cause analysis.

Conocimientos

Data engineering

Python

Go

SQL

BigQuery

dbt/Dataform

REST APIs

ETL pipelines

CI/CD

CRM integrations

Herramientas

Adverity

Fivetran

Supermetrics

Funnel

GitHub Actions

Docker

Kubernetes

Descripción del empleo

BigQuery

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.

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 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

• A pivotal, high‑visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructure

• The chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better world

• A culture built around finding a better way, playing as a team of A‑players, and treating results as the engine rather than the goal

• Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data

Interview Process:

• Application Review (resume + a few questions)

• Screening Call with Atomic HR

• Hiring Team Interview (walkthrough of a pipeline or data model you've built)

• Technical Assessment (a real‑world data engineering case study)

• Final Interview with company leadership

• Location: LATAM
• Work Model: 100% Remote
• Project: Identity Security / Cybersecurity Platform
• Seniority: Senior
• Engagement: Full-time

143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM

• Location: LATAM
• Work Model: 100% Remote
• Project: Identity Security / Cybersecurity Platform
• Seniority: Senior
• English Level: B2 / C1
• Engagement: Full-time

Get to Know Darwoft

At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.

We are a Latin American technology company with a people‑first culture, strong professional standards, and a long‑term partnership mindset. We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.

About the Project

We are partnering with an innovative cybersecurity company building a next‑generation Identity Security and Identity Observability platform.

The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI‑driven identities access systems across cloud, SaaS, network, endpoint, and on‑premise environments.

At the core of the platform is a highly data‑intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals. This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.

The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.

About the Role

We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.

This is not a traditional backend or internal data engineering position.

You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.

You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting.

A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time‑to‑production.

What You Bring

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.

• Strong software development experience with:
  • Python
  • Go
• Strong experience designing and consuming REST APIs.
• Hands‑on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third‑party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform:
  • AWS
  • Azure
  • GCP
• Experience working with Docker and Kubernetes.
• Strong understanding of Git‑based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production‑ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• Strong communication skills and the ability to operate effectively in customer‑facing technical conversations.
• High degree of autonomy and ownership when solving ambiguous technical problems.

Highly Relevant Experience

Experience with any of the following will be especially valuable:

• Identity and Access Management (IAM)
• Identity Providers (IdPs)
• Identity Security
• Cybersecurity platforms
• SIEM systems
• Security telemetryNetwork security
• Endpoint security
• SASE / Zero Trust environments
• Cloud security
• Large‑scale event processing
• Streaming architectures

Integration Experience

Previous experience integrating APIs or data from platforms such as the following is highly valuable:

• AWS
• Microsoft Azure
• Google Cloud
• Microsoft Entra ID / Active Directory
• Okta
• Google Workspace
• Duo
• CrowdStrike
• Zscaler
• Palo Alto
• Microsoft Defender
• SIEM and security analytics platforms

Direct experience with every platform is not required. What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.

Nice to Have

• Experience with large-scale data processing or streaming platforms.
• Experience designing reusable connector SDKs or integration frameworks.
• Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non‑human identities.
• Experience with security events, audit logs, network telemetry, or cloud activity data.
• Familiarity with event‑driven and distributed system architectures.
• Experience deploying AI/ML‑enabled applications.
• Exposure to LLMs, AI agents, or AI‑powered security applications.
• Solution Architecture or Forward Deployed Engineering experience.
• Previous experience in cybersecurity startups or high‑growth SaaS environments.

What Success Looks Like

• Deliver successful enterprise integrations and deployments.
• Reduce customer time‑to‑production.
• Build reliable and scalable ingestion solutions.
• Improve customer adoption and technical satisfaction.
• Resolve complex integration challenges efficiently.
• Turn customer‑specific requirements into reusable platform capabilities.
• Contribute improvements that strengthen the scalability and flexibility of the core product.

What Darwoft Offers

• Contractor agreement with payment in USD
• 100% remote work
• Argentina's public holidays
• English classes
• Referral program
• Access to learning platforms

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