Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education
Our client is a fast-growing performans.
Optimize and improve automated email marketing flows (e.g., welcome series, abandoned cart, win-back) and signup forms in Klaviyo to maximize new customer acquisition, engagement, retention, and revenue generation.
Develop comprehensive content calendars aligned with client objectives, ensuring consistent and engaging messaging throughout email marketing campaigns.
Collaborate closely with clients and Client Success Managers to translate requirements into effective Klaviyo email marketing campaigns, ensuring their success and satisfaction.
Serve as the primary point of contact for clients, promptly addressing questions and concerns.
Partner with clients and internal teams to understand business needs and translate them into actionable strategies that help drive business growth.
Technical Optimization:
Manage Klaviyo setups, integrations (e.g., Shopify, CDPs, custom tech stacks), and account infrastructure, ensuring they are properly configured, segmented, and performing optimally.
Conduct regular audits in Klaviyo to identify and resolve technical issues related to email deliverability, responsive design, dynamic tagging, and personalization.
Identify technical issues and work diligently to resolve them in a timely manner.
Data Analysis and Reporting:
Monitor and analyze lifecycle and email marketing performance metrics via Klaviyo analytics and Google Analytics, such as repurchase rates, LTV, engagement rates, and list growth.
Provide insights and recommendations based on data analysis to optimize performance and drive continuous improvement.
Generate accurate and comprehensive reports, ensuring data-driven decision-making.
Continuously analyze data and metrics to identify revenue opportunities for clients, providing strategic recommendations to drive growth and maximize ROI.
Quality Assurance:
Perform quality assurance checks on all Klaviyo email marketing campaigns and flows, ensuring accuracy, consistency, dynamic data rendering, and adherence to industry best practices.
Collaboration and Team Support:
Collaborate closely with cross-functional teams, including account management, copywriting, design, and implementation, to deliver seamless and impactful email marketing strategies.
Foster a positive and collaborative team environment, supporting and mentoring team members when needed.
Continuous Learning and Adaptability:
Stay up-to-date with Klaviyo features, updates, industry trends, and emerging technologies in retention marketing, incorporating them into our strategies to maintain a competitive edge.
Adapt to evolving industry trends, consumer behaviors, and email marketing regulations (e.g., GDPR, CAN-SPAM, CASL).
Requirements (Skills & Qualifications):
B2C experience is required, particularly with enterprise ecommerce businesses.
Minimum of three (3) years of experience managing or having heavy involvement in running an Email Retention Marketing program for a B2C eCommerce brand - Email, SMS, Push, and/or direct mail.
Demonstrated expertise in identifying revenue opportunities, developing content strategies, and enhancing retention and loyalty marketing.
Expert-level proficiency in Klaviyo.
Demonstrated mastery of advanced Klaviyo features including predictive analytics, custom flow logic, complex segmentation, and SMS integration.




Knowledge of HTML/CSS and basic coding principles for email design and customization within Klaviyo.
Familiarity with CRM, CDPs, eCommerce platforms (such as Shopify), and Google Analytics.
Strong analytical skills, with the ability to analyze data, generate insights, and make data-driven recommendations.
Previous experience working with larger brands as a retention marketing manager preferred.
Excellent written and verbal communication skills, with the ability to build strong client relationships and collaborate effectively with cross-functional teams.
Detail-oriented, organized, and able to manage multiple projects simultaneously.
Self-motivated, proactive, and able to work independently.
Experience in remote work environments and self-motivation.
About CrucialPoint:
CrucialPointta 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
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 .
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
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