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Remote Amazon Data Engineer Jobs in Acworth, GA (NOW HIRING)

Senior Data Engineer

Atlanta, GA · Remote

$108K - $147K/yr

Although this position is 100% remote , you must be comfortable working East Coast hours ... Troubleshoot, debug, and optimize high-scale analytical queries within Amazon Athena and ...

New

Senior Data Engineer

Atlanta, GA · On-site +1

$104K - $141K/yr

Although this position is 100% remote , you must be comfortable working East Coast hours ... Troubleshoot, debug, and optimize high-scale analytical queries within Amazon Athena and ...

New

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer (Remote)

Atlanta, GA · Remote

$130K - $145K/yr

Talon Hiring Solutions has a client that is looking for a Data Engineer to join the Data and ... This role is fully remote with some travel to the home office in Birmingham, AL* What You'll Do

New

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

This position is ideal for an engineer who is passionate about data, eager to learn emerging ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Mid-Level Data Engineer

Atlanta, GA · On-site +1

$99K - $116K/yr

We're looking for a Data Engineer to build, improve, and support the data pipelines and ... This is a remote position within the United States. At the time of hire and throughout employment ...

New

AWS Data Engineer

Atlanta, GA · Remote

$112K - $134K/yr

Perform data cleansing, data validation etc \n \n \n \n 3. Hands on ETL developer who is good at ... Toronto ON, Atlanta GA and Remote.\n \n \n \n \n \n \n \n

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

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

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

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

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Data Engineer to ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$150K - $165K/yr

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Data Engineer to ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

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Showing results 1-20

Remote Amazon Data Engineer information

See Acworth, GA salary details

$39.7K

$115.8K

$158.4K

How much do remote amazon data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote amazon data engineer in Acworth, GA is $115,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $122,700.00 per year, depending on experience, location, and employer.

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What are popular job titles related to Remote Amazon Data Engineer jobs in Acworth, GA?

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

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

The top searched job categories for Remote Amazon Data Engineer jobs in Acworth, GA are:

What cities near Acworth, GA are hiring for Remote Amazon Data Engineer jobs?

Cities near Acworth, GA with the most Remote Amazon Data Engineer job openings:

Senior Data Engineer

Atlanta, GA • Remote

ImagineX Consulting
IT Services • 51 - 200 employees

$108K - $147K/yr

Full-time

Posted 2 days ago

New


Job description

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.
As a Senior Data Engineer, you will lead the design, implementation, and operationalization of modern enterprise data platforms. You will be responsible for architecting scalable data solutions, driving technical best practices, and mentoring other engineers while remaining hands-on with the code. This role is ideal for a seasoned engineer who thrives in complex data environments, possesses strong leadership skills, and is passionate about building production-grade systems using modern SQL, AWS analytics, and distributed computing stacks.
We are open to full-time or 1099 contractors.  Although this position is 100% remote, you must be comfortable working East Coast hours.
Responsibilities
  • Lead the development and maintenance of robust, scalable data pipelines and ETL/ELT workflows using AWS Glue and Apache Spark.
  • Architect and build complex, transactional data lakehouses leveraging Apache Hudi for efficient ingestion and data management.
  • Guide design discussions, conduct rigorous code reviews, and provide data architecture leadership for development squads.
  • Collaborate with cross-functional team members, product managers, and client stakeholders to deliver high-quality data features and business insights from conception to deployment.
  • Establish data engineering standards, drive clean code initiatives, and champion best practices across the data development lifecycle.
  • Leverage AI-assisted tools to optimize development workflows, automate data testing, and improve overall pipeline reliability.
  • Troubleshoot, debug, and optimize high-scale analytical queries within Amazon Athena and distributed data systems for peak performance and security.
  • Oversee CI/CD pipeline integration, cloud data infrastructure deployments, and workflow automation efforts.
  • Mentor junior and mid-level data engineers, fostering a culture of technical excellence and continuous growth.
Qualifications
  • 7+ years of professional software or data engineering experience.
  • Expert proficiency in SQL and advanced relational data management techniques.
  • Strong hands-on experience building distributed data processing frameworks using Apache Spark.
  • Proven experience architecting cloud data solutions, serverless execution with AWS Glue, and interactive analytics via Amazon Athena.
  • Deep understanding of modern open-source table formats, specifically constructing transactional lakehouse layers with Apache Hudi.
  • Deep understanding of data engineering fundamentals, dimensional modeling, testing strategies (data quality validation, unit, integration), and version control (Git).
  • Strong communication skills, with the ability to articulate complex technical data concepts to both technical and non-technical stakeholders.
  • Proven ability to lead technical teams, mentor engineers, and drive successful data project delivery.
This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship.

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