Modash
SaaS
SeniorProductDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Product Data Engineer at Modash. Skills: Product Data Engineering, Data Products, LLMs, Data Pipelines, AWS. Scale systems end-to-end. Raise quality bar”
What You'll Achieve.
Builds the intelligence layer that turns raw social media signals into trusted, customer-facing data products; Deliver reliable access, quality, and freshness at scale; Ship full features from idea to production; Build and operate data products that ship as part of a customer-facing application
Industry & Context.
Based in Europe with significant working-hours overlap with EET (Tallinn time)
What They're Looking For.
Must Have
Proven track record with ETL/ELT pipelines and large-scale data processing, Comfortable working with unstructured data, Experience with workflow orchestration tools like Airflow or AWS Step Functions, Familiarity with the AWS ecosystem (Glue, EMR, etc.), Shipped full features from idea to production: planning & scoping → architecture → implementation → release → iteration, Hands-on experience building agentic / LLM-powered features in production, Practical understanding of trade-offs between LLMs (cost, latency, capability), Based in Europe with significant working-hours overlap with EET (Tallinn time)
Nice to Have
Worked with AI/ML tools or LLMs, Familiar with the GCP stack (especially Vertex AI), Worked with lakehouse formats like Apache Iceberg, Used Pulumi or Terraform for IaC, Familiar with Node.js and TypeScript, Understand AWS cost mechanics (how scale impacts spend), Care deeply about code quality and system design, Curious about the creator economy
What You'll Do.
Scale systems end-to-end
Accelerate turning messy public data into consistent
Own high impact projects end-to-end
Creating an understanding of the creators location
and interests at scale
Creating systems to extract collaborations between creators and brands from raw social data
Shaping the future of AI-assisted search
exploring how LLMs and embeddings can enhance search and recommendations
Creating data products from scratch that directly impact customers
How You'll Work.
Team & Collaboration
Working within a broader Data organization; Working closely with Data Insights, Data Search, and Data Core teams; Pair programming; Fast feedback loops; Shared wins; Working closely as a team; Not working in isolation
Communication Scope
Direct communication
Process & Methodology
Planning & scoping, Architecture, Implementation, Release, Iteration
Full Job Description
**Remote — Data Insights Team — Full-time** Modash gives brands the tools to work with the right content creators and helps creators earn a living doing what they love. Behind the scenes, the **Data Insights team** is building the intelligence layer that turns raw social media signals into trusted, customer-facing data products — with reliable access, quality, and freshness at scale. We’re looking for a hardened **Senior Product Data Engineer** to help us scale these systems end-to-end, raise our quality bar, and accelerate how quickly we turn messy public data into consistent, valuable insights customers can build on.[](https://www.notion.so/Data-Insights-Team-3198114f49868068a0cfe12b53f3101e?pvs=53)[](https://www.notion.so/Data-Insights-Team-3198114f49868068a0cfe12b53f3101e?pvs=53) ### 🚀 What your day-to-day will look like We’re not a service function — Data Search & Data Insights are core product capabilities at Modash, building products for customers to use. **Data Insights is a specialised team** in Data Org, and you’ll own high impact projects end-to-end, from idea to launch. Here’s a typical day: * Start your day with a short standup * Heads-down focus time to plan, build, iterate, and launch * Minimal meetings — maximum ownership You’ll be working on big, impactful projects like: * Creating an understanding of the creators location, age, and interests at scale * Creating systems to extract collaborations between creators and brands from raw social data * Shaping the future of AI-assisted search, exploring how LLMs and embeddings can enhance search and recommendations. You won’t be patching pipelines — you’ll be creating data products from scratch that directly impact customers. ### 👥 The Data Team At Modash, the Data Insights team isn’t a support function — it’s a core part of the product. You’ll join a growing group of data and backend engineers, working within our broader Data organization. We work in three closely aligned teams within Data: * Data
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