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Remote Big Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Curant Health

Data Engineer II

Smyrna, GA · Remote

$114K - $137K/yr

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients\' toughest ...

TRC Talent Solutions

Senior Data Engineer/Devops

Atlanta, GA · Remote

$100K - $136K/yr

Senior Healthcare Data Engineer Remote TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data ...

Unum UK

Sr. Data Engineer - CX Analytics

Atlanta, GA · Remote

$110K - $132K/yr

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Core Data Engineer Capabilities: Deep expertise in at least two of the following, with basic ...

Voya Financial

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Deliver ETL pipelines while coordinating with other ETL engineers onshore and offshore. Design ... Big data Tools: Spark, hdfs, Sqoop, hive, Impala, Oozie, Flume, Kafka, Streamset, DMXSynch Sort ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Deliver ETL pipelines while coordinating with other ETL engineers onshore and offshore. Design ... Big data Tools: Spark, hdfs, Sqoop, hive, Impala, Oozie, Flume, Kafka, Streamset, DMXSynch Sort ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Charter Global

Data Scientist

Atlanta, GA · Remote

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java ...

Clarkston Consulting

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Design, prototype, and develop Big Data Platforms utilizing Azure or AWS * Translate business goals ... Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining ...

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Remote Big Data Engineer information

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

As of Aug 18, 2026, the average hourly pay for remote big data engineer in Atlanta, GA is $60.57, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $68.17 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.

What are the most commonly searched types of Big Data Engineer jobs in Atlanta, GA?

The most popular types of Big Data Engineer jobs in Atlanta, GA are:

What are popular job titles related to Remote Big Data Engineer jobs in Atlanta, GA?

For Remote Big Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Big Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Big Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Big Data Engineer jobs?

Cities near Atlanta, GA with the most Remote Big Data Engineer job openings:

Remote Big Data Engineer jobs near you
Infographic showing various Remote Big Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,978 per year, or $60.6 per hour.

Data Engineer II

Curant Health

Smyrna, GA • Remote

$114K - $137K/yr

Full-time

Posted 6 days ago

Job description

Position Summary

Curant Health is seeking a Data Engineer II to design, develop, and support scalable data solutions across the organization. This role will focus on building and optimizing ETL/ELT pipelines, data integrations, and data processing frameworks that support Curant Health’s operational, clinical, and business intelligence needs.

The ideal candidate has strong experience with SQL, C#, SSIS, Azure data technologies, and modern data engineering practices. This individual will work closely with technical and business partners to translate requirements into secure, reliable, and scalable data solutions.

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and enhance existing data processes.

Duties and Responsibilities

Core duties and responsibilities include the following. Other duties may be assigned based on business needs.

Data Engineering and ETL Development
  • Design, develop, test, and maintain secure, reliable, and scalable ETL/ELT pipelines based on business requirements and user stories.
  • Develop and enhance data processing frameworks using SQL, C#, SSIS, and Azure technologies.
  • Design and maintain integrations between internal systems, external data sources, applications, and reporting environments.
  • Write and optimize complex SQL queries, stored procedures, and data transformation logic.
  • Design and support relational databases, data warehouses, and dimensional data models.
  • Monitor data pipelines and troubleshoot processing failures, data discrepancies, and performance issues.
  • Implement appropriate data validation and quality controls throughout data pipelines.
Azure and Cloud Data Solutions
  • Design, implement, and support data solutions using technologies such as Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, and Azure Functions.
  • Develop and maintain scalable cloud-based data pipelines and processing environments.
  • Utilize Azure Key Vault and other security tools to support secure data access and credential management.
  • Support Snowflake, Spark, and other modern data processing technologies as applicable.
  • Identify opportunities to improve infrastructure, scalability, reliability, and data delivery.
AI and Automation
  • Leverage AI, Generative AI, and AI-assisted development tools to accelerate data engineering and development workflows.
  • Apply AI technologies to support the development, automation, testing, documentation, and optimization of ETL/ELT pipelines.
  • Identify opportunities to automate repetitive data engineering and operational processes.
  • Evaluate emerging AI and data technologies for potential application within Curant Health’s data environment.
  • Ensure AI-assisted solutions align with organizational security, privacy, data governance, and quality standards.
Development, Testing, and Deployment
  • Develop, test, debug, and maintain code to ensure solutions meet technical and business requirements.
  • Design and support Azure DevOps CI/CD pipelines for automated deployment and release management.
  • Participate in code reviews, testing, troubleshooting, and production deployment activities.
  • Estimate and plan development work, track progress, and deliver assigned projects within established timelines.
  • Maintain technical documentation for data pipelines, integrations, processes, configurations, and troubleshooting procedures.
Project and Cross-Functional Collaboration
  • Take ownership of assigned projects and drive work from requirements gathering through implementation and ongoing support.
  • Partner with business stakeholders, analysts, developers, and other IT team members to understand requirements and develop appropriate solutions.
  • Translate business requirements into technical specifications and scalable data solutions.
  • Identify and implement internal process improvements related to data delivery, automation, performance, and infrastructure.
  • Communicate project status, technical challenges, risks, and recommended solutions clearly to appropriate stakeholders.
SharePoint Support
  • Support the administration, maintenance, and development of SharePoint and SharePoint Online environments as needed.
  • Assist with the creation and management of SharePoint sites, permissions, integrations, and related solutions.
  • Troubleshoot SharePoint-related issues and coordinate resolutions as appropriate.

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