Senior DataOps Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 Colombia, Costa Rica – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

📋 Description

• Build and maintain production-grade data pipelines from business applications into Snowflake • Integrate data from HubSpot, NetSuite, partner systems, product-usage sources, and other SaaS applications • Design and maintain raw, staging, intermediate, and governed data models • Build historical and point-in-time datasets supporting analysis of customers, pipeline, ARR, renewals, and other key business metrics • Translate business concepts into reusable governed data models • Establish consistent definitions and relationships across CRM, ERP, product, and other source systems • Build and maintain semantic and metrics layers for Finance, Revenue Operations, leadership, BI tools, and approved AI applications • Partner with Finance and Revenue Operations to reconcile data and metric differences • Build trusted datasets, metrics, dashboards, and reporting models for executive and operational reporting • Enable self-service analytics and reduce dependency on one-off SQL analysis • Configure and manage ETL/ELT tooling such as Fivetran, Matia, or equivalent technologies • Develop custom data integrations using APIs, SQL, and Python • Partner with source-system owners to understand schemas and improve upstream data quality • Build reliable processes for moving governed data back into operational systems when appropriate • Implement data-quality testing, monitoring, documentation, lineage, exception handling, and access controls • Structure governed business data to support AI-enabled analytics, natural-language querying, agentic workflows, and workflow automation • Collaborate with Finance, Revenue Operations, Engineering, Product, Customer Success, and external implementation partners • Troubleshoot data pipelines and integrations, validate outputs with business stakeholders, and document implemented solutions • Contribute to data architecture, governance, scalability, reliability, and maintainability best practices

🎯 Requirements

• 5+ years of professional experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similar hands-on data role • Advanced SQL skills with significant experience designing and maintaining production data models • Hands-on experience with Snowflake or a comparable cloud data warehouse • Experience building production-grade ETL/ELT pipelines and integrating SaaS applications into a data warehouse • Experience working with CRM data and systems such as HubSpot or Salesforce • Experience working with ERP, billing, or financial data and systems • Experience building semantic layers, governed metrics, or reusable analytics models • Working proficiency with Python for data transformation, automation, and API integrations • Experience using APIs to integrate data across business systems • Experience with BI platforms and developing dashboards, reporting models, and analytics solutions for nontechnical business users • Strong understanding of data quality, testing, monitoring, lineage, access control, documentation, and maintainability • Experience designing historical and point-in-time data models • Ability to translate ambiguous business requirements and metric definitions into scalable technical solutions • Strong analytical thinking and problem-solving skills • Strong communication and collaboration skills with the ability to work effectively with technical and nontechnical stakeholders • Experience working in collaborative, cross-functional environments • Conversational English level • Experience with NetSuite • Experience with HubSpot • Experience with dbt or comparable data transformation and modeling frameworks • Experience with Fivetran, Matia, or similar ingestion and integration platforms • Experience with Pliable or another semantic or metrics-layer technology • Experience modeling SaaS business metrics such as ARR, bookings, pipeline, renewals, churn, retention, and customer health • Experience integrating product-usage data with CRM and financial data • Experience working in a B2B SaaS or private-equity-backed software environment • Experience building reverse ETL or other processes for synchronizing governed warehouse data back into operational systems • Experience making governed enterprise data available to AI or LLM applications • Familiarity with AI-enabled analytics, natural-language data querying, and agentic workflows