Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education
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.
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 dashboard
Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse
Own the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas - We discover what excites the world and deliver it seamlessly to our members!
We are the creators of top sites you know and love.
We are leading the industry by using cutting-edge technologies to deliver top-quality content.
Our content and websites are published exclusively and enjoyed by millions of fans worldwide.What we are looking for - Paper Street Media, LLC is hiring for a FULL-TIME Platform Operations Specialist.
This role owns the day-to-day operational execution of our members area: QA, sales tracking and reporting, promo execution, price verification, monitoring of upsell, cross-sell and onboarding flows, and analysis of how members actually use the app.You will report to the Growth Lead, within the Growth Operations team, and will directly support the team's strategist by taking operational execution off their plate.
You will work closely with Tech to surface needs, document requirements clearly, and help sort out priorities.
This job is a REMOTE position.The job will expose you to the content of adult nature.
If this is something you are not comfortable with please do not apply.We will contact you via email only.
We will not contact you via phone calls or any 3rd party messaging system.




Please be aware of any job offer scam.The job will start on a 90-day probationary period.Learn more about us here (link to You'll Be Doing:Run continuous QA on the members area: flows, new features, releases, and error states.
Catch what is broken before a member does.Verify and validate that displayed pricing is correct across every touchpoint of the members area, systematically and on a recurring basis.Execute promo launches and takedowns, confirming that each one starts and ends exactly as defined.Track, control, and report on members area sales, keeping visibility current for the team.Monitor the performance of upsell, cross-sell, and onboarding flows, and identify drop-offs and opportunities.Review how members actually use the application and turn those observations into concrete improvement proposals.Support the user segmentation work already owned by a teammate, contributing execution and complementary analysis.Analyze sales and behavior from our reports and data, and turn that analysis into actionable conclusions.Partner with Tech to surface members area needs, document them clearly, and help sequence priorities.Interpret what the sales and strategy teams want to achieve and translate it into concrete operational execution.Take on additional responsibilities as needed to support overall goals.Must Haves:4-6 years of experience in digital operations, growth operations, product operations, or e-commerce operations, with a demonstrable track record of execution in a fast-paced environment.Advanced, daily use of AI applied to your presente work, specifically with Claude.
We want to see tools, automations, or workflows you built yourself, not occasional conversational use.Real UX sensibility: you understand why a flow fails and can describe friction from the user's point of view.Functional understanding of sales.
You don't need to be an expert - that's what your teammates are for - but you do need to correctly interpret a commercial objective and land it in execution.Exceptional attention to detail.
In this role, a wrong price or a promo that doesn't switch off is a revenue problem.Comfort working with data: reading reports, cross-referencing information, and reaching actionable conclusions without depending on others.Enough technical aptitude to hold your own with Tech: you understand and communicate technical concepts, even if you don't code.Full autonomy and comfort with ambiguity.
Executor profile: you take ownership and you finish.Experience working with Slack, Google Suite, JIRA, and Asana.Nice to Haves:Experience within the adult entertainment industry, or with an existing network of partner and platform relationships.Experience in subscription or recurring membership businesses, especially in retention and post-login monetization.Prior experience with product QA or pricing QA.Abili 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
#J-*****-Ljbffr

📌 Remote Senior Marketing Data Engineer (Bigquery/Python) (Santa Fe)
🏢 Sophilabs
📍 Santa Fe