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Remote Big Data Engineer Jobs (NOW HIRING)

Lead Java Spark, Bigdata Engineer

New York, NY ยท On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Skill Sets * Sr. big data engineer with advance Java experience to join our modernization ...

Data Engineer (Remote)

$117K - $140K/yr

... big data services (Kinesis, Glue, EMR, Spectrum etc.) โ€ข Work with ETL & analytics tools (AWS ... and DevOps concepts (i.e. CI/CD) โ€ข Work with data storage technologies (Redshift, S3, Hadoop ...

Data Engineer

$117K - $140K/yr

... big data processing. Qualifications * Bachelor's or Master's degree in Computer Science, Data ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Remote Data Engineer

$117K - $140K/yr

Job Summary : 1872 Consulting is seeking a Sr. Data Engineer to provide technical expertise and ... Big Data use cases. โ€ข Design, develop and deploy optimal monitoring and testing strategy for the ...

Data Engineer

Rock Hill, SC ยท Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment ... Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake ...

Engineering Manager, Big Data

Austin, TX ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Seattle, WA ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... to 4 years of designing Big Data Pipelines supporting Data Science Use Cases. * Practical ...

Engineering Manager, Big Data

Austin, TX ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Santa Monica, CA ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Santa Monica, CA ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Chicago, IL ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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Remote Big Data Engineer information

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How much do remote big data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a remote big data engineer?

A Remote Big Data Engineer designs, develops, and manages large-scale data processing systems while working from a remote location. They build data pipelines, optimize data storage, and ensure efficient data processing for analytics and machine learning applications. Their role involves working with technologies like Hadoop, Spark, and cloud platforms to handle massive datasets. Effective communication and collaboration with distributed teams are essential for success in this role.

What skills and qualifications are needed to be a remote big data engineer?

To thrive as a Remote Big Data Engineer, you need a strong background in computer science, data engineering, and programming languages such as Python, Java, or Scala, often supported by a relevant degree. Expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP), along with certifications like Google Professional Data Engineer or AWS Certified Big Data, is highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills allow you to excel in distributed teams. These skills and qualities enable you to efficiently manage, analyze, and derive insights from massive datasets in a remote work environment.

What challenges do remote big data engineers face and how can they be managed?

Remote Big Data Engineers often navigate challenges such as collaborating across different time zones, ensuring secure and efficient data transfer, and maintaining clear communication with distributed teams. Staying up to date with rapidly evolving technologies and troubleshooting complex data pipeline issues without in-person support can also be demanding. Successful engineers manage these challenges by leveraging robust project management tools, fostering transparent communication, and participating in ongoing training or knowledge-sharing sessions. By proactively addressing these hurdles, they contribute to smoother project delivery and continuous team collaboration.

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Infographic showing various Remote Big Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Principal Engineer, Big Data Platform

San Francisco, CA โ€ข On-site, Remote

Pinterest
Internet and ITย โ€ขย 1 - 5K employees

Full-time

Posted 10 days ago


Job description

We're looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You'll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love.

What you'll do:

  • Lead the strategy and technical direction of Pinterest's data infrastructure for big data and AI applications
  • Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling
  • Work with internal customers on critical business use cases that rely on big dataย 
  • Provide thought leadership to the entire company on how data should be processed and stored more reliably, quickly and efficiently at scale
  • Contribute to the team's technical vision and long-term roadmap

What we're looking for:

  • 12+ years of industry experience with a proven track record of technical excellence
  • 8+ years of experience of building and support large scalable Kubernetes or big data platform
  • Deep knowledge of big data / ML technologies (e.g. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow)
  • Proficiency in one or more programming languages (Java, Go, Scala, Python)
  • Experiences in Kubernetes and AWS technologies
  • Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
  • Bachelor's degree in Computer Science, a related technical field, or equivalent experience.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.ย 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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