Remote data engineer careers

Remote Data Engineer Jobs

Explore exciting remote Data Engineer opportunities with Jobgether. As a Data Engineer, you'll have the chance to work with cutting-edge technologies while enjoying the flexibility that remote work offers. Check out our Data Engineer jobs and discover related roles like Back-End Developer and Cloud Engineer to further expand your career!

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Today’s snapshot

1,240 Active jobs
13 Added today
$115K–$175K Salary range
Top skills SQL (Programming Language) · Python (Programming Language) · Data Engineering

1,241 remote data engineer roles

The 20 best matches, newest first. Salary is shown wherever the employer states one.

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01

How many remote data engineer jobs are there right now?

1,240 roles are live right now, and 143 of them were posted in the last seven days.

1,240
live roles
143
added this week
13
added today
151 Aug 17 Nov 2

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

How does pay change as you move up?

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.

$68K
$82K
$125K
$167K
$218K
Entry-level Junior Mid Senior Lead

Median advertised salary by seniority. 11 more roles state a salary but no seniority.

03

Which skills do these employers actually ask for?

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.

1
74%
2
71%
3
44%
4
40%
5
39%
6
39%
7
36%
8
28%
9
26%
10
25%

Share of the live postings naming each skill.

04

Where can I work these jobs from?

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.

100

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.

Before you apply

Which data platforms are most in demand for remote roles?

Snowflake and Databricks lead in demand. BigQuery is strong for Google-ecosystem companies. dbt is increasingly expected at all levels. At the senior level, multi-platform experience is highly valued.

Is data engineering merging with ML engineering?

There is significant overlap, particularly in ML infrastructure and feature engineering. Senior data engineers with ML pipeline experience can access both categories of roles.

Are data engineering leadership roles available remotely?

Yes, and growing rapidly. Head of Data Engineering and Director of Data Platform are among the most remote-friendly engineering leadership positions.

Keep looking

Every page below is built the same way as this one: live roles first, then the data behind them.

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Parent category: Remote Tech & IT Jobs

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You get the roles, including the ones that never reach a public job board. You get to see how you stand against each one and how to position yourself. And you get a direct line to the hiring manager who decides.