Salary of a Data Science / Data Engineer in United States

Traditionally, coastal regions like Silicon Valley (San Francisco/San Jose), Seattle, and New York pay the highest base salaries and stock compensations in the world. Fast-growing secondary hubs like Austin, Denver, and Atlanta offer highly competitive salaries alongside significantly lower costs of living.

W-2 employees receive a direct salary, healthcare benefits, paid time off, and have taxes withheld by the employer. Independent contractors (1099) get no benefits and manage their own taxes, leading them to charge much higher hourly rates to offset these costs.

Big Tech companies, cloud computing platforms, Artificial Intelligence/Machine Learning, and the Fintech sector lead global compensation tables, combining base salary, cash bonuses, and RSUs (stock grants).

This profile works with data from two angles: building pipelines, models, and data platforms, and performing advanced analysis for prediction, segmentation, or automation. It often collaborates with product, business, engineering, and analytics teams.

Common tools include Python, SQL, Spark, Airflow, dbt, notebooks, cloud data warehouses, machine learning tooling, APIs, and storage services. For data engineering, Kafka, Docker, Kubernetes, and CI/CD are also valuable.

Statistical modeling, MLOps, data architecture, governance, pipeline optimization, business communication, and the ability to deploy models to production significantly increase this profile's value.