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Remote Big Data Engineer Jobs (NOW HIRING)

C the Signs

AI Data Engineer

Boston, MA · Remote

$117.20K - $140.70K/yr

Stay up-to-date with the latest advancements in data engineering, big data technologies, and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Sapta Global Inc

Big Data Developer

Signal Hill, CA · Remote

$56.50 - $73.50/hr

Remote Salary: $ 65/hrDuration: CTH 6 Months Start: Asap SGI is searching for a Power BI Report ... This global organization is expanding their data department. They want a Sr. Developer who is ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113.30K - $136.10K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Guide Big Data Transformations: Implementation of comprehensive big data projects, including the ...

Ecom Industries

Senior Data Engineer (Remote)

Boston, MA · Remote

$115.20K - $156.40K/yr

Senior Data Engineer (Remote) - 6 Month Contract + Basic Qualifications: * A minimum of three years ... Experience with AWS big data services (Kinesis, Glue, EMR, Spectrum etc.) * Experience with ETL & ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

$117.20K - $140.70K/yr

Data Engineer Location: NY * There will be coding rounds for this role ensure they have hands one ... Hands on development experience in building distributed Big Data solutions including ingestion ...

MasterCard

Senior Software Engineer (Big Data)

O Fallon, MO · On-site +1

$52.25 - $69/hr

Title and Summary Senior Software Engineer (Big Data) Position Overview Have you ever wanted to be part of something BIG? Now is the time to make an immediate impact at a leading global technology ...

Saviance

Lead Data Engineer

Boston, MA · Remote

$124.40K - $149.40K/yr

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

Redolent, Inc

Data Engineer

Bentonville, AR · On-site +1

$100.40K - $120.50K/yr

Data Engineer LOCATION: Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required ... big data solution in Hadoop using Hive, Spark, Presto, Pandas

Samprasoft

Data Engineer II

Miami, FL · On-site +1

$109.50K - $131.50K/yr

This is a remote role at this time but will require hybrid work in Miami, Florida by end of this ... big data that in turn drive their businesses. You will have the opportunity to create high ...

Elios, Inc.

Senior Data Engineer

Houston, TX · Remote

$101.20K - $137.50K/yr

Fully Remote: Work from anywhere with flexible hours that fit your lifestyle. * Award-Winning ... Build, maintain, and enhance robust ETL/ELT pipelines tailored to big data applications within ...

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

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)

Texas State Library and Archives Commision

GCP Data Engineer

$117.20K - $140.70K/yr

GCP Data Engineer with 6 to 8+ years of experience in Data Analytics and Big Data. Responsible for ... to remote APIs. Preferably including streaming data into environments such as BigQuery on Google ...

Apex Informatics

DATA ENGINEER

$117.20K - $140.70K/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 ...

Apex Informatics

Data Engineer

$117.20K - $140.70K/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 ...

DEEPREC.AI

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred ... Experience as a Data Engineer working with large-scale or big data systems such as Apache Spark

Transcend Business Solutions

Be Seen First

Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Position Title: Sr. Data Engineer Location: Fully Remote Duration: 6 months (strong chance of ... Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as ...

Urgent

Mactores

AWS Data Engineer (Associate)

$117.20K - $140.70K/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 ...

New

Jobgether

$88.40K - $106.10K/yr

... fully remote European environment, focusing on high-impact domains such as fraud detection ... Working with modern big data technologies, you will help transform raw and structured data into ...

Ursus Inc

Data Engineer

Ashburn, VA · Remote

$60 - $100/hr

JOB TITLE: Data Engineer LOCATION: Remote DURATION: 6+ month contract RATE RANGE: $60 - $100 per ... Deep knowledge of big data technologies such as Hadoop, Spark, or Anacond * Strong programming ...

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

As of Jun 1, 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.
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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:
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What job categories do people searching Remote Big Data Engineer jobs look for? The top searched job categories for Remote Big Data Engineer jobs are:
Remote Big Data Engineer jobs near you
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.

AI Data Engineer

C the Signs

Boston, MA • Remote

$117.20K - $140.70K/yr

Full-time

Posted 11 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.