Apify
SaaS
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Apify. Skills: Snowflake, dbt, Keboola, Segment. Own the integration domain end to end. Build reliable, observable pipelines”
What You'll Achieve.
Segment operating as the durable CDP; Published tracking plan; Reliable event flows into Snowflake; Core tables with documented data contracts; Tests and alerting in place; Measurable improvements in data freshness; Pipeline reliability; Incident response time; Shipped at least one cross-team initiative
Industry & Context.
Trace lineage across multiple components; Find root causes; Resolve pipeline incidents
What They're Looking For.
Must Have
3+ years of data engineering experience, Meaningful time spent on integrations between a cloud warehouse and operational SaaS tools, Fluent in SQL, Comfortable in Python, Production experience with Snowflake, Understanding of cost, performance, and access-control tradeoffs of a usage-based warehouse, Experience building end-to-end pipelines combining an orchestration or ELT platform with a transformation framework, Hands-on experience with a CDP, Think in data contracts, Comfortable with reverse ETL, Pragmatic about tooling, Able to explain why a dashboard moved and what it means to non-technical stakeholders
Nice to Have
Experience with usage-based billing or product-led growth data models, Exposure to LLM-assisted workflows in the data stack, Prior experience at a SaaS company between 50 and 500 people
What You'll Do.
Own the integration domain end to end
Model integration data in Snowflake
Power lifecycle automations
Diagnose and resolve pipeline incidents
How You'll Work.
Team & Collaboration
Work with RevOps team; Work with Growth stakeholders; Explain to non-technical stakeholders
Communication Scope
Explain to non-technical stakeholders; Writing; In person
Process & Methodology
Documented six-month plan
Full Job Description
Apify is the largest marketplace of tools for AI. 30,000+ Actors helping people and agents get real-time web data, track competitors, generate leads, or integrate their apps. Actors are built by a global creator community that now earns more than $1M every month. Join us to help people put the web to work. Apify can find missing children https://blog.apify.com/fighting-child-traffickers-with-technology/, protect consumers from fake discounts across the EU https://blog.apify.com/how-web-scraping-ai-and-the-eu-have-come-together-to-sweep-away-fake-discounts-in-europe/, and feed data to AI chatbots https://blog.apify.com/intercom-customer-support-ai-chatbot-web-scraping/. We're looking for a Data Engineer to own the integration layer between Snowflake and the operational tools that run Apify's go-to-market and product motion: HubSpot, Intercom, Mixpanel, and Segment. You'll make sure the right data lands in the right system at the right time, with the right shape, so Sales, Marketing, Customer Success, and Product teams can act on it. You'll be the 9th member of the data team - joining a mix of analytical engineers, analysts, and data scientists - at the moment Segment is being rolled out as Apify's CDP. That's yours to land end-to-end. WHAT YOU'LL BE WORKING ON: - Own the integration domain end to end - all pipelines, transformations, and Snowflake models that connect HubSpot, Intercom, Mixpanel, and Segment to the rest of the platform, in both directions. - Design event tracking and the CDP layer with the RevOps team as Segment becomes the source of truth for behavioral data flowing into product, marketing, and CRM systems. - Build reliable, observable pipelines in Keboola and dbt - with clear data contracts, schema tests, freshness guarantees, and alerting. - Model integration data in Snowflake so HubSpot, Intercom, Mixpanel, and Segment data lands in well-defined tables that downstream consumers can trust, with documentation that analysts and scientists can actuall
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