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Remote Big Data Engineer Jobs (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/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 ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

$117K - $140K/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 ...

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 ...

The Data Sherpas

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 ...

The Data Sherpas

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 ...

Apex Informatics

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 ...

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)

Apex Informatics

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 ...

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 ...

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/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 ...

Ruri Software Technologies LLC

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.

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such ...

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

As of Jul 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 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 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 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.

More about Remote Big Data Engineer jobs
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:
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 July 2026, with employment types broken down into 2% As Needed, 67% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Data Engineer - Multiple Positions

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 15 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

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