Data Engineering Discussion Forum
The DataDriven discussion forum is where data engineers and aspiring data engineers trade notes on interview loops, compensation, and day-to-day work. Threads here come from candidates who have just finished a specific company loop, engineers sharing what actually gets asked in SQL and system design rounds, and senior engineers explaining how they evaluate hires.
What People Post About
- Interview experiences: company-specific recaps covering recruiter screens, technical phone screens, SQL rounds, Python coding rounds, data modeling rounds, system design rounds, and behavioral interviews.
- Compensation data: base salary, bonus, RSU vesting schedules, and offer negotiation stories for levels from junior through staff and principal.
- Study strategies: how to prep for SQL window functions, how to approach dimensional modeling under interview pressure, and how to build intuition for pipeline design.
- Career transitions: data analyst to data engineer moves, software engineer to DE switches, and how to break into FAANG from a non-elite background.
- Role comparisons: analytics engineer vs data engineer, ML engineer vs DE, platform engineer vs DE, and how titles map to responsibilities at Meta, Google, Amazon, Netflix, Uber, Stripe, and Databricks.
- Tool debates: Snowflake vs Databricks, Airflow vs Dagster, dbt vs vanilla SQL, Kafka vs Kinesis, Spark vs pure Python for batch workloads.
Who Uses the Forum
Active posters include engineers prepping for onsites at top companies, career switchers trying to size up the market, hiring managers explaining what red flags kill a candidate, and current DataDriven users sharing problems they solved that felt interview-accurate. The discussion is practical and specific. No self-promotion, no vague career advice without data.
Related Resources on DataDriven
- Mock Interview Practice - AI-driven four-phase interview simulator
- Practice Problems - 2,000+ real interview problems with grading
- Daily Challenge - Fresh SQL and Python problems every day
- Interactive Lessons - Hands-on tutorials with real code execution
- Interview Prep Guide - End-to-end interview loop prep
- SQL Interview Questions - Most-asked SQL questions
- Python Interview Questions - Python for data engineers
- Data Modeling Interview Questions - Star schema, SCD, and more
- System Design Interview Questions - Pipeline architecture rounds
- Meta Interview Guide, Amazon, Google, Netflix, Stripe, Databricks
- All DataDriven Resources - Complete index of guides and practice