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Remote data engineer careers
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Today’s snapshot
The 20 best matches, newest first. Salary is shown wherever the employer states one.
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Share your CV and we shortlist the roles on this page for you, score each one against your experience and tell you where you are genuinely qualified.
The data behind this page
01
1,630 roles are live right now, and 125 of them were posted in the last seven days.
Postings still live, per week, over the last 12 weeks. The earlier weeks read low: the roles that have been filled are no longer counted.
02
The median advertised salary is $150K a year. Senior roles come in at $167K.
* Of the offers that state a seniority.
03
No. Data engineering is one of the least saturated technical categories at the senior level. Companies are actively competing for experienced data engineers who can design and own end-to-end data platforms. The least competitive specializations are real-time streaming architectures, data mesh implementations, and ML infrastructure engineering. Even the more common areas (batch pipeline development, data warehouse architecture) have strong demand at senior levels.
Median advertised salary by seniority. 14 more roles state a salary but no seniority.
04
Platform-specific filtering is the main challenge. The data engineering ecosystem is fragmented: Snowflake vs. Databricks vs. BigQuery, Airflow vs. Dagster vs. Prefect, Spark vs. Flink vs. dbt. Companies filter aggressively on their specific stack. A senior data engineer who architected a world-class pipeline on Snowflake + Airflow may get filtered for a role using Databricks + Dagster, despite equivalent or superior capability. Additionally, the line between data engineering and ML engineering is blurring, creating role-matching ambiguity.
Share of the live postings naming each skill.
05
All levels hire remotely. Senior data engineers (8+ years) and staff-level data engineers are in peak demand. Head of Data Engineering and Director of Data Platform roles are growing rapidly at companies of all sizes. VP-level data roles are remote-viable at mid-sized companies. Data engineering leadership is among the most remote-friendly engineering leadership tracks.
roles hire from anywhere in the world, with no country requirement at all.
Open roles by the geography the employer can hire from. Totals overlap where a role covers several countries.
Every page below is built the same way as this one: live roles first, then the data behind them.
What Jobgether is
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