3

Full Time Remote Big Data Jobs (NOW HIRING)

Big Data Engineer

$50 - $52/hr

Remote, prefer Costa Mesa Here is JD for Big Data engineer (12+ yrs Exp) Excellent Scala, Pyspark, Java coding experience for REST API and SOAP webservices Excellent AWS experience (Batch and API ...

Big Data Testing Engineer

$57 - $75.50/hr

Net Orbit Inc has openings for the position Big Data Testing Engineer. Project Location ... Remote / El Segundo, CA 90245 (Current Roles & Responsibility): • Validation of data using sqoop ...

Employer-matched 401(k) plan The US base salary range for this full-time position is $140,000-$200 ... Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal ...

Apply Early

Employer-matched 401(k) plan The US base salary range for this full-time position is $140,000-$200 ... Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal ...

Apply Early

Employer-matched 401(k) plan The US base salary range for this full-time position is $140,000-$200 ... Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal ...

Apply Early

Big Data/ Hadoop Architect

$65.25 - $84/hr

Job Title: - Big Data/ Hadoop Architect Duration :- 8+ Months Location :- Remote The selected candidate will work directly with the team in researching, building, and implementing the computer ...

next page

Showing results 1-20

Full Time Remote Big Data information

See salary details

$15

$62

$88

How much do full time remote big data jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for full time remote big data 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 the difference between Full Time Remote Big Data vs Full Time Remote Data Engineer?

AspectFull Time Remote Big DataFull Time Remote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's in CS, Software Engineering; experience with ETL, cloud platforms
Work EnvironmentRemote, collaborative teams, data analysis focusRemote, development-focused, infrastructure setup
Industry UsageTech, finance, healthcare, retailTech, finance, consulting, e-commerce

Full Time Remote Big Data roles focus on managing and analyzing large datasets using tools like Hadoop and Spark, often emphasizing data processing and analytics. Full Time Remote Data Engineers build and maintain data pipelines, focusing on infrastructure, ETL processes, and cloud platforms. While both roles require similar technical credentials and often operate remotely, their core responsibilities differ: Big Data roles analyze data, whereas Data Engineers develop the systems that enable data analysis.

How can I make $100,000 a year working from home?

A full-time remote Big Data professional can reach a $100,000 annual salary by gaining expertise in data engineering, analytics, or machine learning, often requiring skills in tools like Hadoop, Spark, or SQL. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.

What jobs pay 4000 a week without a degree?

Full Time Remote Big Data roles typically require specialized skills and experience, and most do not pay $4,000 weekly without relevant qualifications. However, high-paying freelance or consulting positions in data analysis, cloud computing, or software engineering can reach or exceed this level with strong expertise and certifications. These roles often demand proficiency in tools like Hadoop, Spark, or cloud platforms such as AWS or Azure.

How to make $1000 a week remotely?

A full-time remote Big Data professional can earn $1000 or more weekly by working on high-demand projects, leveraging skills in data analysis, programming, and cloud platforms. Increasing income may involve gaining certifications, specializing in niche areas, and securing multiple clients or projects simultaneously.

Is 40 too late for data science?

For a full-time remote big data role, age is generally not a barrier if you have relevant skills, experience, and knowledge of tools like Hadoop or Spark. Many professionals transition into data science or big data roles later in their careers, and continuous learning through certifications or online courses can enhance your prospects. Employers value expertise and problem-solving ability over age alone.
More about Full Time Remote Big Data jobs
What cities are hiring for Full Time Remote Big Data jobs? Cities with the most Full Time Remote Big Data job openings:
What are the most commonly searched types of Remote Big Data jobs? The most popular types of Remote Big Data jobs are:
What job categories do people searching Full Time Remote Big Data jobs look for? The top searched job categories for Full Time Remote Big Data jobs are:
Infographic showing various Full Time Remote Big Data job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 89% Full Time, 2% Part Time, 1% Temporary, and 6% 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.
Sr. Big Data Engineer - Remote

Sr. Big Data Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$61 - $80.75/hr

Full-time

Posted 29 days ago


Job description

NAVA Software solutions is looking for a Sr. Big Data Engineer
Details:
Sr. Big Data Engineer
Duration: 6-12 months
Location: Remote project
Client is looking for a Big Data Engineer having experience as mentioned:
  • 10 Yrs of Data Engineer Exp
  • 6 yrs Big Data Exp
  • 4 yrs of AWS Exp.
  • Strong Spark, Scala.
  • Strong Python/Java exp - Mandatory

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media