You’re the backbone of modern data infrastructure—building pipelines, cleaning data, and enabling analytics and AI. So why are most job boards still tossing data engineers into the same pile as data analysts or frontend devs?
It’s time for clarity. It’s time for Nerd Werk.
Why Generic Tech Boards Fail Data Engineers
Data engineers work with Spark, Kafka, Snowflake, Airflow, and cloud platforms. But many job boards treat these roles like generic “big data” jobs—or worse, confuse them with data science.
Mislabeling = Missed Opportunities
You might be a world-class ETL builder or data platform architect—but can’t even find jobs that reflect it.
No Filter for Tooling or Pipeline Type
Do you specialize in batch or real-time? Is your stack AWS or GCP? The average job board doesn’t know or care.
Nerd Werk Was Built for Engineers Who Build Data Systems
At Nerd Werk, we don’t confuse your job with someone else’s. We help data engineers find roles that actually align with their skills.
Search by Tools, Frameworks, and Pipeline Models
Filter by platforms like Databricks or Redshift, tools like dbt or Kafka, or pipeline types (batch, real-time, streaming, hybrid).
Built-In Clarity
See roles tagged by cloud stack (AWS, Azure, GCP), programming language, and data architecture type; right from the listing preview.
Example Roles on Nerd Werk
- Data Pipeline Engineer – Streaming (Kafka, Flink)
- Cloud Data Platform Developer – AWS + Snowflake
- Analytics Data Engineer – dbt + Airflow
- ML Data Infrastructure Engineer – GCP + Vertex AI
Every listing comes with relevant tech tags and real-world context, not just a buzzword soup.
Level Up Your Data Career
Data engineering deserves more than a vague “tech job” category. With Nerd Werk, you get a job board that actually speaks your language; schemas, not slogans.