Senior Data Ingestion Engineer (Remote, LATAM)

Lateral Group; La Pampa; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Argentina public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is partnering with an innovative cybersecurity company to hire a Senior Data Engineer focused on data ingestion, integrations, and collectors. This 100% remote LATAM role centers on building scalable ingestion pipelines and connectors for enterprise environments.

You will develop Python/Go services, work with REST APIs, and deploy across AWS, Azure, and GCP while ensuring security and data quality. Strong customer-facing collaboration is essential.

Qualifications

• 5+ years of hands-on data engineering in marketing or agency environments.
• Experience configuring datastreams, transformations, and destinations in Adverity or comparable ETL platforms (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 SQL transformation pipelines.
• Python proficiency for custom API connections and pipeline automation.
• Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot).
• Strong understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, aiding Looker Studio performance.
• Proficiency with Git and collaborative development workflows; multi-client data environments with strict data segregation.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Design scalable ingestion architectures for processing security events, logs, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go; work with SQL and NoSQL databases.
• Build and operate containerized services using Docker and Kubernetes; deploy across AWS, Azure, and GCP.
• Troubleshoot complex deployments across application, infrastructure, networking, API, and data layers.
• Collaborate with architects, Sales Engineering, Customer Success, Product, and Engineering.
• Act as a trusted advisor on data architecture and implementation best practices.
• Identify recurring customer requirements and transform into reusable connectors and platform capabilities.

Skills

BigQuery

SQL

Python

dbt/Dataform

Git

REST APIs

Tools

Adverity

Fivetran

Supermetrics

Funnel

Job description

Darwoft is partnering with an innovative cybersecurity company to hire a Senior Data Engineer focused on data ingestion, integrations, and collectors. This 100% remote LATAM role centers on building scalable ingestion pipelines and connectors for enterprise environments.

You will develop Python/Go services, work with REST APIs, and deploy across AWS, Azure, and GCP while ensuring security and data quality. Strong customer-facing collaboration is essential.