Hire Data Engineers
Data engineers design and maintain the pipelines, warehouses, and lakes that power analytics and machine learning. As companies generate exponentially more data, the demand for engineers who can build reliable, scalable data infrastructure has grown steadily. Strong data engineers combine SQL mastery with distributed systems knowledge, and often have experience with tools like Spark, Airflow, and dbt that are hard to assess from a resume alone.
Salary Ranges
Estimated base salary. Actual compensation varies by company stage, equity, and benefits.
| Level | Low | High |
|---|---|---|
| Junior (0-2 yrs) | $95,000 | $125,000 |
| Mid (2-5 yrs) | $135,000 | $180,000 |
| Senior (5+ yrs) | $180,000 | $250,000 |
Key Skills to Look For
- SQL
- Apache Spark
- Airflow / Dagster
- dbt
- Snowflake / BigQuery / Redshift
- Python
Why Use Candyfloss AI to Hire Data Engineers
Real contribution data
Go beyond resumes. See GitHub activity, open-source contributions, and tech stack signals for every data engineers candidate.
Job change signals
Spot engineers likely considering new roles based on tenure, company events, and activity patterns.
Salary estimates
Get market-calibrated salary benchmarks for data engineers so you can make competitive offers from day one.
Natural language search
Skip Boolean strings. Describe the data engineers you need in plain English and let AI surface the right matches.
Start sourcing data engineers today
Candyfloss AI indexes millions of engineer profiles so you can find, evaluate, and reach out to the right candidates faster.