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Remote Big Data Engineer Jobs (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

The ideal candidate will bring strong expertise in cloud-based data processing, big data ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

The ideal candidate will bring strong expertise in cloud-based data processing, big data ... Flexible work environment and remote work options. Join us and be part of a team building ...

AWS Data Engineer (Associate)

$117K - $140K/yr

... Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer • Understanding of DataOps Engineering Company : Mactores is a technology consulting and ...

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... Proficiency in SQL , dealing with big data over Informatica ETL * Proven experience in Data quality ...

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... dealing with big data over Informatica ETL § Proven experience in Data quality and data ...

AWS Data Engineer (Associate)

$117K - $140K/yr

... Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer • Understanding of DataOps Engineering Company : Mactores is a technology consulting and ...

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks framework (Python/Scala)

Bigdata Engineer

$57 - $75.50/hr

Work is seeking a skilled Big Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will work with large datasets and modern data processing ...

Data Engineer

$117K - $140K/yr

Data Engineer JOB RESPONSIBILITIES The primary focus of a Data Engineer will be expanding and ... Experience building and optimizing 'big data' data pipelines, architectures, and data sets.

Data Engineer

$117K - $140K/yr

Required : • Candidates must be very strong as a Data Engineer - Design, develop, and maintain scalable ETL pipelines • Must be strong in Python and Scala and have work with Big Data Tools • ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

Use Azure Databricks for big data transformations & analytics. * Optimize SQL queries, stored ... Remote role within the United States; Eastern Standard Hours. * Occasional U.S. travel for company ...

Data Engineer with GCP

$117K - $140K/yr

Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery in Google BigQuery * Strong knowledge on Google ...

Showing results 21-40

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 Sep 13, 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.

Big Data Engineer | Austin, TX (Remote) | 5+ Months

Austin, TX • Remote

Doyensys
IT Services • 1 - 10 employees

Contractor

Re-posted 14 days ago


Job description

Job Title: Big Data Engineer
Location: Location: Austin, Texas(Remote )
Duration: 5 Months with possible extension
Years of exp :9+
 
 
Required Skills:
 
Design and develop Extraction, Transformation, Load (ETL) processes for enterprise data warehouse using Informatica; Deep hands-on expertise with Informatica ETL processes, development, data management, data profiling, data flows, data relationships, and data quality standards and processes
Hands-on experience with data warehouse development and testing (relational and dimensional) and proven evidence to implement using databases like Oracle, SQL Server etc. but preferably Oracle
Experience in Data Science
Hands on experience with data modeling preferably in a data warehouse environment
Experience with Informatica product suite in the Informatica cloud
Experience devising and utilizing algorithms and models to mine data; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Experience with detecting and providing solutions to addressing mismatched data in case management systems.
 
 
Preferred Skills:
 
More than one type of RDBMS (DB2, SQL Server, Oracle)
Erwin or other equivalent data modeling tools
Experience in Amazon Web Services
Experience with detecting and providing solutions to addressing mismatched data in case management systems