Senior Data Engineer: Ingest & Cloud Integrations (Remote) (Rincón de los Sauces)

Senior Data Engineer: Ingest & Cloud Integrations (Remote) (Rincón de los Sauces)

28 oct
|
Coder Technologies
|
Rincón de los Sauces

28 oct

Coder Technologies

Rincón de los Sauces

Coderio designs and delivers scalable digital solutions for integral companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end.
We work with international clients, value autonomy and clear communication, and build long‐term partnerships through technical excellence.
More information: This is a high-impact technical roleble with other full-time professional engagements.
Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.About DarwoftDarwoft is a software factory delivering custom software solutions and IT staff augmentation services to international clients, primarily in the United States and Latin America.
We partner with startups and scale-up companies to build high-impact digital products, combining technical excellence with a people-first culture built on long-term relationships and collaborative work.Senior Fullstack Engineer (React/TypeScript/AI-Assisted Development) · LATAMLocation: Anywhere in LATAMWork Model: 100% RemoteEngagement: Full-time ContractorProject: FinTech · Customer Experience Operations PlatformEnglish Level: AdvancedSeniority: SeniorCommitment & FocusThis role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours.
It is not compatible with other full-time professional engagements.Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities, availability, or working hours required for this role.Get to Know DarwoftAt Darwoft, we build digital products with heart.We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the world.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards.We're passionate about technology, but even more about the people behind it.
If you're looking for an environment where your ideas matter, experimentation is encouraged, and your impact is tangible, welcome to Darwoft.About the RoleWe're looking for a Senior Fullstack Engineer with a strong frontend focus to join a high-impact international FinTech project building an internal Customer Experience Operations Platform.The platform provides the tools customer experience agents and supervisors rely on every day to manage queues, assignments, conversations, agent availability, dashboards, metrics, and operational workflows.You'll primarily design and ship agent-facing experiences using React and TypeScript, working within a modern, modular frontend architecture while collaborating closely with the backend services and APIs that power the platform.A key aspect of this opportunity is the way the team approaches software development.We're looking for engineers with an agentic development mindset: people who actively use AI coding assistants, LLM agents, automation, and AI-assisted engineering workflows to prototype faster, solve problems, generate and validate code, improve testing, accelerate debugging,



and increase overall engineering productivity.This is not simply about using AI autocomplete.
We're looking for engineers who are comfortable incorporating tools such as Cursor, Claude Code, GitHub Copilot, coding agents, custom scripts, or AI-assisted specifications into their day-to-day development process while maintaining strong engineering judgment and ownership.You'll work closely with Product, CX stakeholders, designers, and backend engineers to turn operational requirements into reliable, intuitive, and scalable user experiences.What You'll Be DoingDesign, develop, and maintain React / TypeScript features across CX domain modules, including operations tooling, agent presence, inbox workflows, queues, assignments, and internal applications.Build and evolve reusable UI components, forms, tables, filters, dashboards, and complex operational workflows.Work with technologies and patterns including Tailwind CSS, Tremor, Radix/shadcn, and Storybook.Apply AI-assisted and agentic software engineering practices to accelerate prototyping, implementation, testing, refactoring, documentation, and debugging.Experiment with AI coding agents and automated workflows to improve engineering productivity and development quality.Build data-driven interfaces using TanStack Query, React Router, react-hook-form, and Z, 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'll Be Doing 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 their environments, data flows, APIs, security requirements, and integration constraints.
Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high‐volume data sources .
Build integrations using REST APIs, cloud‐native services, event‐driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high‐volume data.
Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
Optimize ingestion performance, reliability, scalability, and operational efficiency.
Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
Contribute technical insights from real‐world implementations to the product roadmap.
Support production adoption and continuously improve time‐to‐value for enterprise customers.
Participate in occasional customer‐facing technical sessions and, when necessary, onsite engagements.
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.
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📌 Senior Data Engineer: Ingest & Cloud Integrations (Remote) (Rincón de los Sauces)
🏢 Coder Technologies
📍 Rincón de los Sauces

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