Data Engineer jobs

2,440 data engineer openings indexed from employer careers pages in the last 30 days. Recent postings below pay roughly $95k to $240k a year.

A curated sample from 6 employers appears below, refreshed weekly. Sign up to search everything and have the agent apply for you.

PythonPySparkSQLDistributed ComputeData EngineeringNoSQLBig Dataquery accelerationGenAInatural language interfaces

Senior Data Engineer

Oct 4
Swoop
Redwood City, US · Hybrid · Full-time
$205k–$240k/yr · 5+ yrs

Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company’s data needs grow.

PythonPySparkSQLDistributed Compute
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Senior Data Engineer

Sep 29
Clarity Innovations
Kelley Barracks, Stuttgart, DE · Onsite · Full-time
$90k–$217k/yr · 3+ yrs

This Data Engineer directly supports the Special Operations Command - Africa (SOCAF) based at Kelley Barracks in Stuttgart, Germany.

Data EngineeringNoSQLBig DataSQL
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Senior Data Engineer

Sep 29
Firstup
US · Remote · Full-time
$155k–$170k/yr · 8+ yrs

Design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines.

SQLquery accelerationGenAInatural language interfaces
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Enterprise Data Engineer

Sep 30
MHYSA Solutions
San Diego, CA or Remote, US · Remote · Full-time
$105k–$140k/yr · 5+ yrs

Design, develop, and maintain scalable enterprise data pipelines and systems using modern technologies such as Apache Spark, Hadoop, NoSQL databases, and Python.

Data EngineeringBig DataSQLPython
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Data Engineer

Oct 1
GreenDart Inc. Verification and Validation
El Segundo, US · Onsite · Full-time
$83k–$132k/yr · 2+ yrs

Responsible for designing and building systems that collect, store, and process data. Creates data pipelines to move data through an organization.

Database designData warehousingData modelingData analytics
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Data Engineer - Mid-Level

Oct 1
Ignite Digital Services
US · Remote · Full-time
$95k/yr · 5+ yrs

Analyze use cases and high-level requirements to define detailed requirements for data solution design and implementation. Collaborate with AI/ML engineers and technical teams to ensure scalable, reliable data processing.

PythonSQLdata modelingAPIs
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