BigQueryData Engineer (Marketing-oriented) | Remote for Marketing Agency for EducationOur client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, 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 ****, 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 dashboardOwn CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouseOwn 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 performanceOwn 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 clientsOwn 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 environmentsEnable 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 modelsDrive 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 leadershipYou Bring:5+ years of hands‐on data engineering experience, ideally in a marketing or agency environmentStrong 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 modelingExpertise in dbt or Dataform, managing modular, version‐controlled, documented SQL transformation pipelinesPython proficiency for custom API connections and pipeline automationExperience 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 performanceProficiency with Git and collaborative development workflows,



and proven ability to manage multi‐client data environments with strict data segregationAn 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 valuedBonus Points:Experience integrating AI‐driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utilityFamiliarity using AI or LLM tools to optimize performance forecasting, automated audience segmentation, or marketing workflowsExperience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architectureExperience using AI/ML‐driven anomaly detection to monitor pipelines and proactively flag data quality issuesWhat's Offered:Remote role with the flexibility that comes with a distributed, async‐friendly teamCompetitive compensation based on experience and locationA pivotal, high‐visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructureThe chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better worldA culture built around finding a better way, playing as a team of A‐players, and treating results as the engine rather than the goalDirect impact: the pipelines and models you build directly shape how partners see (and trust) their own performance dataInterview 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 leadershipLocation: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full-timeGet to Know DarwoftAt 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 OpportunityWe're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A; processes.
The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI‐powered capabilities within a single SaaS product.What makes this opportunity particularly different is the way the engineering team builds software.
The product has been developed using an AI‐native engineering approach, with tools such as Claude Code, OpenAI Codex, and other AI coding agents deeply integrated into the development workflow.We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software engineering fundamentals with this new way of building software.
This is not a traditional AI/ML Engineer role.You won't be training machine learning models or working primarily on Data Science.
Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.The idóneo person is a builder first: highly technical, pragmatic, product‐oriented, low‐ego, and comfortable taking ownership of complex systems.What You'll Be DoingNavigate, understand,



and evolve a large existing production codebase.Design and implement new product capabilities across a complex SaaS platform.Make pragmatic architectural and system design decisions as the product continues to scale.Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.Build and evolve backend services, APIs, integrations, data models, and application workflows.Contribute across the application stack when needed.Strengthen automated testing, maintainability, observability, reliability, and production readiness.Improve development workflows, tooling, automation, and engineering practices.Troubleshoot complex issues across application, data, and infrastructure layers.Balance development speed with software quality and long‐term maintainability.Work closely with product leadership to translate business problems into effective technical solutions.Help a small engineering team achieve significantly greater development leverage through AI‐assisted engineering.What You BringStrong professional experience building and operating production software systems.Excellent software engineering fundamentals, including architecture, system design, debugging, testing, and maintainability.Experience working with large or complex existing codebases.Strong backend or full‐stack engineering experience using modern programming languages and frameworks.Experience building modern web applications and SaaS products.Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems.Experience with relational databases and production data environments.Strong understanding of automated testing and modern software development practices.Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.Ability to reason through technical trade‐offs and make pragmatic architectural decisions.Strong ownership and ability to work independently in an evolving product environment.Product mindset: you understand not only how to build something, but also why it should be built.AI‐Native Engineering ExperienceHands‐on experience using AI development tools is especially important for this position.We're particularly interested in engineers who actively use tools such as:Claude CodeOpenAI CodexCursorGitHub CopilotWindsurfOther AI coding agents or agentic development toolsMore importantly, we're looking for someone who uses AI beyond code completion.You should be comfortable using AI to:Understand unfamiliar codebases.Investigate architecture and dependencies.Design implementations.Generate and refactor production code.Debug complex issues.Create and improve automated tests.Review code and identify potential issues.Automate repetitive engineering tasks.Accelerate delivery while maintaining engineering quality.We're looking for someone who sees AI as a core engineering tool, while still bringing the technical judgment required to make strong software and architectural decisions.Nice to HaveExperience working in early‐stage or high‐growth product companies.Previous experience as a Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high‐ownership role.Experience building AI‐powered SaaS products.Experience integrating LLMs or AI APIs into production applications.Experience with document‐heavy or workflow‐intensive platforms.Experience designing authorization systems, permissions, RBAC, and auditability.Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.Experience improving engineering productivity through developer tooling and automation.What Success Looks LikeSuccess in this role goes beyond writing more code.Help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform.The goal is to combine strong engineering judgment with AI‐native development practices to dramatically increase what a small engineering team can build.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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