Senior Data Engineer, Modash

• Solid experience as a Data Engineer
• Strong knowledge of Spark (Scala, Databricks, or PySpark — PySpark is ideal, but not required)
• Proven track record with ETL/ELT pipelines and large-scale data processing
• Hands-on experience with Python and SQL
• Comfortable working with unstructured data
• Experience with workflow orchestration tools like Airflow or AWS Step Functions
• Familiarity with the AWS ecosystem (Glue, EMR, DynamoDB, etc.)
• You've built full features from idea to production: planning & scoping → architecture → coding → release
• You're based in Europe with at least a few hours overlap with GMT+3

Desirable

• Behind the scenes, we’re building the world-class data platform that powers creator discovery for thousands of companies — and we’re looking for a hardened Senior Data Engineer to shape the direction of the creator economy
• We’re not a service function — data engineering is a core product capability at Modash, building products for customers to use. You’ll own 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:
• Building a creator search engine indexing 200M+ influencer profiles
• Creating an understanding of the creators location, age, and interests at scale
• Creating systems to extract audience demographics 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
• At Modash, data engineering isn’t a support function — it’s at the heart of the product. You’ll be part of a growing team of 4 data engineers, working alongside 4 backend engineers as part of our broader data organization
• Our tech stack
• AWS with Pulumi (IaC)
• Spark (EMR) — mostly PySpark
• Airflow for orchestration
• DynamoDB, S3, Glue, Kinesis, Lambda, ECS
• GitHub, Confluence, Miro, Jira

• We move fast. You can get interviewed in under a week. Process consists of:
• 1. Intro chat
• 2. Technical interviews: 1. Coding challenge (in PySpark) and 2. System Design
• 3. Team fit / Project presentation
• 4. Culture & alignment call with the CEO Avery Shrader - That’s it!