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Remote Big Data Engineer Jobs (NOW HIRING)

Data Engineer

Glen Allen, VA ยท Remote

$50 - $53/hr

Data Engineer Location: Greenwood Village, CO / Remote, Duration: long term opportunity. Client ... work with Big Data Tools very good communication Additional Skills MAJOR DUTIES AND ...

Senior ML Data Engineer - Remote

Plano, TX ยท Remote

$110.10K - $132.20K/yr

... big data processing and analytics Proficient in Python for data manipulation and SQL for query optimization Experience building pipelines for real-time and batch model serving in production ...

Senior ML Data Engineer - Remote

Plano, TX ยท On-site +1

$110.30K - $132.40K/yr

... big data processing and analytics Proficient in Python for data manipulation and SQL for query optimization Experience building pipelines for real-time and batch model serving in production ...

Data Engineer

Herndon, VA ยท Remote

$117.70K - $141.40K/yr

... or big data solutions * Bachelor's Degree or higher in one of the following fields: computer ... Experience working with remote sensing data, ideally satellite imagery and an understanding of ...

EDI Data Engineer (Healthcare Domain)

New York, NY ยท Remote

$117.20K - $140.70K/yr

NYC, NY & Canada (Remote) Job Type: Contract Note: Need minimum 10+ years experience and recent ... Python, PySpark, and SQL for big data processing * Data lakes (Iceberg format), ETL (Informatica ...

Data Engineer

Omaha, NE ยท On-site +1

$109.50K - $131.50K/yr

Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ... remote support.

Data Engineer-Scope Scripting

Bellevue, WA ยท Remote

$129.20K - $155.20K/yr

Redmond, WA ( Open for Remote) Key Responsibilities Design, build, and maintain automated data ... Experience with Cosmos DB or big data platforms. Strong problem-solving and stakeholder ...

(data engineer)

Richmond, VA ยท Remote

$113.30K - $136.10K/yr

This is a high-impact, remote contract role with strong potential for extension-ideal for engineers ... Prior work with Databricks or similar big data platforms (Spark, Hadoop). * Experience integrating ...

Data Engineer

Scottsdale, AZ ยท Remote

$60 - $70/hr

Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin ... and big data technologies. Builds analytics tools that utilize the data pipeline to provide ...

Senior Data Engineer

Dallas, TX ยท Remote

$105.30K - $143.10K/yr

Remote Duration: 6 Months Contract to Hire (Quarterly Onsite for a few days in Dallas TX) About ... We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis ...

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Remote Big Data Engineer information

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$15

$62

$88

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

As of Jun 2, 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 job?

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 are the key skills and qualifications needed to thrive in the Remote Big Data Engineer position, and why are they important?

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 are typical challenges faced by Remote Big Data Engineers, 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.
What cities are hiring for Remote Big Data Engineer jobs? Cities with the most Remote Big Data Engineer job openings:
What are the most commonly searched types of Big Data Engineer jobs? The most popular types of Big Data Engineer jobs are:
What states have the most Remote Big Data Engineer jobs? States with the most job openings for Remote Big Data Engineer jobs include:
Infographic showing various Remote Big Data Engineer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

$50 - $53/hr

Other

Posted 9 days ago


Job description

Position: Data Engineer
Location: Greenwood Village, CO / Remote,
Duration: long term opportunity.
Client: Charter Communications - Denver
Visa Restrictions: No OPT, CPT & H1b
Sub Vending: No
Pay Rate: $50 - $53/Hr on W2 without benefits
Bill Rate: $75
Candidate must be authorized to work without sponsorship
Yes
Candidate must have a Public Profile.
Yes
//This role is a long term, almost 2 year contract. It is 100% remote. However, if someone wants to go full time, they will need to relocate to one of 5 cities. In order to be eligible for this role, consultant must be authorized to work in US without sponsorship now or in the future. LinkedIn profile required Candidates will be required to do a coding exercise on their own prior to an interview. It will be a 1 and done interview.//
Required Skills
Candidates must be very strong as a Data Enginer - Design, develop, and maintain scalable ETL pipelines Must be strong in Python and Scala and have work with Big Data Tools very good communication
Additional Skills
Job Description
MAJOR DUTIES AND RESPONSIBILITIES
- Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability
- Implement monitoring and alerting solutions to ensure data pipeline reliability and performance
- Develop and manage deployment pipelines to facilitate continuous integration and delivery of data engineering solutions
- Document and communicate data engineering processes and standards to business-intelligence, data, and analytics professionals with varied backgrounds Continuously evaluate and improve data engineering tools and approaches to enhance performance and efficiency
REQUIRED QUALIFICATIONS
- Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python
- Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems
- Proficiency in building and managing ETL pipelines
- Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR
- Strong understanding of relational databases and SQL, and familiarity with NoSQL databases
- Knowledge of data architecture, data warehousing, and data marts
- Experience in implementing monitoring solutions and deployment pipelines for data applications
- bility to work with distributed systems and manage data storage solutions Demonstrated ability and desire to continually expand skill set, and learn from and teach others