Skill specialization

Data Engineer Jobs

Data engineering is one of the highest-demand skillsets in the US market. ApTask places senior data engineers with Snowflake, Databricks, dbt, Airflow, and Kafka experience into modern data-platform teams at enterprise clients. Every posting has been sourced by a data-vertical recruiter.

23 live Data Engineer roles

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About Data Engineer roles at ApTask

What data stack do these roles use?

The modern stack of choice: Snowflake or Databricks as the warehouse, dbt for transformations, Airflow or Prefect for orchestration, Fivetran/Airbyte for ingestion. Some clients still run Spark on EMR or self-managed Hadoop.

Do you place data engineers or just data platform engineers?

Both. Data engineers build pipelines. Data platform engineers build the shared infrastructure other teams use. Filter by title to focus on one.

What's the typical bill rate for a senior data engineer?

Senior data engineers bill $90-$160/hr depending on Snowflake vs. Databricks specialization and cloud-native experience. Principal-level engineers with 10+ yrs bill higher.

Are these data engineering roles remote?

About 50-60% of data engineering roles are remote or hybrid. Filter by Work Arrangement.

How do Data Engineer rates compare with national wage data?

The closest occupation the U.S. Bureau of Labor Statistics tracks for Data Engineer roles is database administrators and architects, which had a 2025 median pay of 126,760 US dollars per year (BLS Occupational Outlook Handbook, page last modified August 27, 2026). BLS reports the median wage of all employees in that occupation nationwide; the amounts elsewhere on this page are whatever each ApTask posting or FAQ answer states for itself, so read the BLS figure as national context rather than a like-for-like comparison.

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