181 Remote Big Data Engineer Jobs

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

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Big Data Engineer
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🆕 Date Added

2 days ago

Drive data-driven decisions and enhance veterinary practice through data strategy and engineering.

4 days ago

CMG is seeking a Data Engineer to build scalable data architecture and pipelines. Join a finance tech firm innovating in capital markets.

4 days ago

As a Data Engineer at MedScout, optimize data infrastructure for healthcare claims processing and collaborate with engineering.

5 days ago

Join TRACTIAN as a Data Infrastructure Engineer, developing single-tenancy database solutions for IoT data. Optimize SQL performance and transition multi-tenant infrastructure to enhance data security.

6 days ago

Allstate

10,000+ employees

As an architect at Arity, design scalable solutions for real-time traffic engineering systems. Collaborate with skilled teams on cloud-native architectures and cutting-edge technologies.

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Top Companies Hiring Remote Big Data Engineers

Addepto

Data Science • Business Intelligence • Data Warehousing

51 - 200

Job Openings

BrokerChooser

11 - 50

Job Openings

Healthforce.io

Healthtech • Health Systems • Primary Care

11 - 50

Job Openings

It's Prodigy

FinTech • Digital • Banking

11 - 50

Job Openings

Mediastream

CDN • Media • Broadcast

51 - 200

Job Openings

Metrc

51 - 200

💰 Venture Round on 2018-10

Job Openings

Remote Big Data Engineer Salary Expectations

The average salary for remote big data engineers is $191,958 per year. This is based on data from 5 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:

ExperienceNumber of roles analyzedAverage Salary

🟡 Mid-level Big Data Engineer (2-4 yrs)

1$181,500

🟠 Senior Big Data Engineer (5-9 yrs)

4$194,573

Frequently asked questions

You need strong programming skills in languages like Python, Java, or Scala, proficiency in big data technologies such as Hadoop, Spark, and Kafka, and a solid understanding of data modeling, ETL processes, and distributed systems. Analytical skills and problem-solving abilities are also crucial.

Typically, a degree in computer science, information technology, or a related field is required. Relevant certifications in big data technologies or cloud platforms can enhance your profile. Practical experience and a strong portfolio of projects are often more valuable than formal education.

Responsibilities include designing and managing big data pipelines, optimizing data storage and retrieval processes, ensuring data quality and integrity, collaborating with data scientists and analysts, and generating actionable insights from large datasets.

Benefits include flexible working conditions, the ability to work from various locations, strong demand for skills leading to job security, and competitive salaries. Remote work also allows for greater flexibility in balancing personal and professional life.

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