Location: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full-time143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAMLocation: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEnglish Level: B2 / C1Engagement: 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 ProjectWe 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 RoleWe'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 DoingDesign, 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 RES, both from zero.You would own a set of our Google accounts end to end.Here is what "end to end" actually means.You are the account manager.
We do not have any.
You talk to the client directly.
You write the updates, you run the calls, and you defend the call you made.
The reason we do it this way is ownership.
When you are the person answering for the account, it is your result, not somebody else's summary of your result.You own the whole funnel, not the campaign.
Feed and Merchant Center, search and Shopping and PMax, Demand Gen and YouTube, the landing page, and the conversion tracking underneath all of it.
If the feed is why Shopping is starving, that is yours.
If the page is why the clicks do not convert, that is yours too.
Our team ships advertorials, comparison pages, and PDPs in Claude Code, deploys them to Vercel, points a subdomain at them, and tests them live before anything touches the client's Shopify theme.You are expected to have an opinion about attribution and to defend it.
We optimize to NC-CPA and NC-ROAS, not blended and not last click.
We have turned brand search off to see what actually shifts to organic.
We run geo holdouts.
If a campaign is not incremental, we would rather know than keep the number.You can live anywhere.
We are remote and we hire worldwide.
The one hard requirement is that you can take client calls during US Eastern business hours, because you are the client's point of contact.
The rest of your day is yours.
Nobody here is on a time clock.
We judge you on output.If you want a lane, a ticket queue, and a scope document, this is a bad fit and we will both know it fast.If you want to own the whole picture and be judged on whether the number moved, keep reading.RequirementsWhat the job looks likeOwn a set of DTC accounts as the strategist, the buyer, and the client's direct point of contact.
Budgets run from $5k/mo to well into six figures a month.Own the client relationship.
There is no account manager between you and them.
You present the results, the plan, and the reasoning, and you are the one who answers when something is not working.Audit before you touch anything.
Every account we take over gets a real review first: campaign and ad group structure, keywords versus search terms, negatives, bidding strategy per campaign type, impression share, feed health, landing pages, audiences, and conversion tracking.
Then a Loom walking the client through what you found.
That Loom is how we sell and it is how we keep people.Run brand and non brand as different businesses.
Brand is mostly assisted conversion and it usually belongs on target impression share, not target CPA.
Non brand is where the growth is and where the waste is.
Report them separately or you are reporting nothing.Know what PMax is actually doing.
The most common mistake we see is optimizing PMax against an incremental CAC when half the volume inside it is branded.
If you cannot separate those two, you cannot set a target.Keep Google's automation on a leash.
Auto applied recommendations, auto applied assets, and auto created sitelinks have cost our clients real money.
We audit for them on a schedule.Own the feed.
Merchant Center hygiene, product titles, disapprovals, promotions, and what the feed does to Shopping and PMax delivery.Own the tracking.
GA4, GTM, Shopify goal imports versus a raw Google Ads tag, enhanced conversions, offline conversion imports for the lead gen accounts.
When the numbers do not reconcile, you are the one who finds out why.Diagnose the bottleneck, then go fix it.
Creative, offer, AOV, landing page, checkout, tracking.
Nobody is going to reassign it to another team.Build the things the account needs.
Landing pages, scripts, reporting, whatever removes the constraint.
We are heavy AI users and we expect you to build, not just prompt.You are a fit ifYou have done this with real money.
Hands on Google Ads at meaningful spend on DTC and eCommerce, with results you can walk us through: CPA, ROAS, revenue, and what you actually changed to get them.
Shopping and PMax specifically, not just search.You are fss Looks LikeSuccess in this role will be measured by your ability to:Deliver successful enterprise integrations and deployments.Reduce customer time-to-production.Build reliable and scalable ingestion solutions.Improve customer adoption and technical satisfaction.Resolve complex integration challenges efficiently.Turn customer-specific requirements into reusable platform capabilities.Contribute improvements that strengthen the scalability and flexibility of the core product.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platformsExplore this and other opportunities at:
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