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Information Technology Analyst IV (Cloud Data Engineer)
Solano County • Fairfield, CA, US
$129,874 - $157,863
Data Engineer-jobb i Remote
851 lediga tjänster i Remote. Fully distributed roles across companies and countries, in every field
domain
Databricks Data Engineer
Multitude • Europe Remote
remote
~ $89,300 - $153,500
Hitta ditt nästa Data Engineer-jobb
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Senior Data Engineer
8X8Inc • Romania-Remote
~ €65,000 - €105,000
domain
Data Engineer | NDA
Gt Hq • Poland - Remote
remote
~ PLN 99,000 - PLN 158,600
domain
Data Engineer - Big Data & Data Platforms (m/w/d) 70% Remote
FERCHAU GmbH Niederlassung Kassel • Kassel, Hessen, Hessen
~ €45,900 - €73,600
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Senior Data Engineer, Risk
Block • San Francisco Bay Area, CA, US
$178,200 - $297,000
Liknande yrken i Remote
Vad gör en Data Engineer?
Data engineers build and maintain the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They ensure data quality, security, and accessibility for analytics and machine learning teams.
Data Engineer-lön i Remote
Typiskt lönespann i USA: $95K - $160K. I Europa: €65K - €105K. Levnadskostnaderna i Remote är låga jämfört med andra städer.
Mest efterfrågade kompetenser
Apache Spark/Hadoop
SQL
Python
Cloud Platforms (AWS/GCP/Azure)
ETL/ELT
Data Modeling
Arbetsmarknaden i Remote
Fully distributed roles across companies and countries, in every field. Fully distributed roles hired by companies worldwide, spanning every field and seniority.
Främsta branscher: Open across all fields.
Zero commute with flexibility to live anywhere; remote-first culture prioritizes outcomes over hours.
Karriärväg och trender 2026
Data engineers progress to senior data engineer or principal engineer roles, with some transitioning to data platform architecture or management. Data engineering is experiencing rapid growth in 2026 as organizations prioritize real-time data and AI/ML infrastructure investments.
Intervjutips
Prepare specific examples of data pipelines you've built, focusing on how you handled scale, reliability, and data quality challenges.
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