1,236 Remote Data Engineer Jobs

Explore flexible and work from home data engineer positions available worldwide. Your career in truly remote companies - apply today.

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๐Ÿšฐ Data Engineer
๐ŸŒ Location
๐Ÿ’ต Minimum Salary
โšช๏ธ Experience
1,236 Jobs
๐Ÿ†• Date Added

25 minutes ago

Data Migration Assistant ensuring smooth content migration processes for 1840 & Company, specializing in BPO and remote talent solutions.

2 days ago

Engine seeks a Data Engineer to enhance their data infrastructure for better decision making.

2 days ago

Progyny seeks a Senior Data Engineer to manage data for an event-driven healthcare platform. Role includes designing data transformation pipelines and supporting tool evaluations.

+1,217 More Jobs Available!

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Top Companies Hiring Remote Data Engineers

Assurant

specialty insurance โ€ข extended service products and related services โ€ข renters insurance

10,000+ employees

๐Ÿ’ฐ Post-IPO Debt on 2023-02

Job Openings

Betclic Group

Gambling โ€ข Sports betting โ€ข Bookmaker

501 - 1000

Job Openings

Boost IT

Outsourcing โ€ข Technology โ€ข Java

201 - 500

Job Openings

Coopers Group AG

IT Recruitment โ€ข Engineering Recruitment โ€ข Life Sciences Recruitment

51 - 200

Job Openings

Emergent Software

Software Development โ€ข SQL Server Consulting โ€ข Website Development

51 - 200

Job Openings

Remote Data Engineer Salary Expectations

The average salary for remote data engineers is $144,039 per year. This is based on data from 1,602 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

Frequently asked questions

You need strong programming skills in languages like Python, Java, or Scala, expertise in SQL and NoSQL databases, and experience with data warehousing solutions. Familiarity with ETL tools, big data technologies such as Hadoop or Spark, and knowledge of cloud platforms like AWS or Azure are also important.

Typically, you need a degree in computer science, information technology, or a related field. Relevant certifications in data engineering or cloud technologies can enhance your qualifications, but hands-on experience and a solid portfolio of data projects are crucial.

Responsibilities include designing and maintaining data pipelines, ensuring data quality and integrity, collaborating with data scientists and analysts, optimizing database performance, and implementing data security measures. You will also need to monitor data flow and troubleshoot issues.

Benefits include flexible scheduling, the option to work from anywhere, reduced travel and commuting costs, and a better work-life balance. Working remotely allows for collaboration with global teams and access to diverse projects.

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