Frequently Asked Questions
What do data engineers do?
Data engineers build and maintain the architecture that enables large-scale data collection, transformation, and storage. They design data pipelines, manage ETL workflows, and ensure analytics teams have access to clean, structured data. Their work supports everything from business intelligence dashboards to machine learning models.
Where can I find remote data engineering jobs?
Remote data engineer jobs and remote sql jobs are growing fast, especially at companies embracing distributed teams. Many roles listed on our board are fully remote or offer hybrid flexibility. Filter by “Remote” to explore top listings from companies like Amazon, Anduril, and Perplexity.
What’s the average salary for data engineers in the US?
Salaries vary by location and experience, but most U.S. data engineering roles range from $120K to $250K+ per year. Our curated listings include salary ranges so you can apply with confidence.
Are there entry-level data engineering jobs available?
Yes! While many data engineering roles require experience, there are growing opportunities for entry-level candidates with strong SQL skills, data pipeline knowledge, and cloud experience.
Where can I learn more about data engineering, SQL, and more?
What are the top tools used by data engineers in 2025?
Popular tools include dbt, Snowflake, Apache Airflow, Fivetran, Databricks, BigQuery, and Spark. Modern stacks also use tools like Galaxy for query management and collaboration.
.avif){kind=logo}
