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

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and cloud technologies. Work on tasks independently and seek guidance from leaders as needed. Help ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

See us at Position Summary As a Lead Systems Engineer - Data at Bravo17, you will elevate data ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

Atrium Hospitality

Data Management Analyst

Alpharetta, GA · Remote

$60K - $65K/yr

Fully Remote Position: This role is 100% remote, allowing you to work from the comfort of your home ... Partner with data engineers and BI developers to fix defects, expand monitoring, and keep ...

Atrium Hospitality

Data Management Analyst

Alpharetta, GA · Remote

$60K - $65K/yr

Fully Remote Position: This role is 100% remote, allowing you to work from the comfort of your home ... Partner with data engineers and BI developers to fix defects, expand monitoring, and keep ...

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Atrium Hospitality

Data Warehouse Developer

Alpharetta, GA · Remote

$80K - $90K/yr

Fully Remote Position: This role is 100% remote, allowing you to work from the comfort of your home ... data engineering, reporting, and AI work. * Bring data in from APIs, flat files, and third-party ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Acworth, GA

Remote Data Engineer information

See Acworth, GA salary details

$39.7K

$115.8K

$158.4K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote 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 is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Acworth, GA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,791 per year, or $55.7 per hour.

Cloud Platform Engineer - Data Platforms (Remote -- USA)

MHP USA

Atlanta, GA • On-site, Remote

$53.50 - $71.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Tasks Tasks Tasks
The Role
This remote Cloud Platform engineering role enables AWS Data Lake initiatives by designing, automating, and operationalizing secure, reusable cloud infrastructure. The position partners with Data Engineering teams to deliver Terraform-based platform capabilities, GitHub-driven automation, and AI-assisted engineering practices that accelerate delivery while maintaining enterprise security, governance, operational excellence, and outstanding developer experience.
This role serves as the Cloud Platform engineering representative for Data Engineering initiatives, helping teams deliver secure, scalable, and operationally supportable AWS solutions through reusable platform capabilities and engineering best practices
The AI-Enabled AWS Data Lake Platform Developer enables Data Lake solutions to run securely, reliably, and efficiently in AWS. The role translates Data Engineering requirements into reusable AWS infrastructure patterns, Terraform modules, GitHub-based automation, policy guardrails, and operational practices that align with Cloud Platform standards while improving consistency, scalability, and developer productivity.
Responsibilities
  • Participate in Data Engineering team projects as the Cloud Platform engineering representative for AWS infrastructure enablement.
  • Design, code, review, test, and maintain Terraform for AWS Data Lake infrastructure using GitHub repositories and pull requests.
  • Build reusable patterns for S3 storage zones, IAM roles and policies, KMS encryption, networking, observability, and environment deployment.
  • Use GitHub Actions, GitHub Packages, and GitHub Copilot-assisted workflows to support delivery, testing, documentation, and troubleshooting.
  • Review and validate AI-assisted outputs before use in production or shared platform repositories.
  • Embed security, compliance, tagging, naming, logging, monitoring, and operational standards into reusable infrastructure patterns.
  • Create documentation, handoff notes, runbooks, and support guidance for deployed Data Lake capabilities.
  • Continuously improve reusable Terraform modules, platform capabilities, and engineering standards based on operational feedback and evolving AWS services.
  • Enable Data Engineering teams through reusable infrastructure patterns, documentation, onboarding guidance, and self-service platform capabilities.
  • Partner with Data Engineering teams to optimize AWS infrastructure for cost, performance, scalability, resilience, and operational efficiency.
  • Contribute to the evolution of Cloud Platform standards, reusable modules, golden paths, and internal developer experience.

Work Schedule:
  • This position is remote
  • Domestic travel may be required.
  • Must be willing and able to work after hours and provide on-call support as needed.

Qualifications Qualifications Qualifications
Education:
  • Required:
    • Practical experience in cloud infrastructure engineering, platform engineering, data platform enablement, application development, or related technical delivery roles.
  • Preferred:
    • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or equivalent technical experience.
    • AWS, Terraform, cloud architecture, DevOps, security, data, or generative AI certification preferred.

Experience:
  • 5+ years of relevant cloud infrastructure, platform engineering, DevOps, data platform, or related technical delivery experience.

General Skills:
  • Analytical and systems thinking to translate Data Lake project needs into secure, reusable AWS infrastructure patterns.
  • Strong written and verbal communication skills for working across Cloud Platform, Data engineering, security, architecture, and operations teams.
  • Problem-solving skills for troubleshooting Terraform, AWS infrastructure, deployment pipelines, permissions, networking, and operational issues.
  • Collaboration skills to join Data Engineering team projects while representing Cloud Platform standards and operating practices.
  • Adaptability to work with changing AWS services, Data Lake requirements, infrastructure standards, and AI-assisted development practices.
  • Initiative and ownership to drive infrastructure tasks from requirements through implementation, review, deployment, and operational handoff.
  • Continuous learning mindset for Terraform, AWS Data Lake services, platform engineering, DevSecOps, GitHub cloud services, and GitHub Copilot-assisted development methods.
  • Attention to detail and disciplined review habits to validate GitHub Copilot and other AI-generated code, documentation, and operational recommendations before use.
  • Ability to balance developer experience, operational excellence, security, and governance when designing reusable platform capabilities.

Specialized Skills:
  • Required:
    • Hands-on Terraform development, including reusable modules, remote state, versioning, automated testing, policy validation, code review, and environment promotion.
    • AWS infrastructure services for Data Lake platforms, including IAM, VPC, S3, KMS, CloudWatch, CloudTrail, AWS Config, networking, and guardrails.
    • Experience using GitHub Enterprise, GitHub Actions, GitHub Packages, protected branch workflows, automated validation, and Infrastructure-as-Code delivery pipelines.
    • Experience using GitHub Copilot and AI-assisted workflows for Terraform development, testing, documentation, troubleshooting, review preparation, and responsible AI-assisted engineering.
    • Understanding of DevSecOps practices, including least-privilege IAM, secrets management, policy guardrails, secure pipelines, and operational controls.
    • Experience implementing Policy as Code and infrastructure validation using tools such as OPA, Sentinel, Checkov, or equivalent frameworks.
  • Preferred:
    • AWS Data Lake services such as S3 data zones, AWS Glue, Lake Formation, Athena, data cataloging, and secure access models.
    • Experience with platform engineering concepts such as reusable templates, self-service workflows, golden paths, shared modules, and internal developer enablement.
    • Experience applying observability, logging, metrics, tracing, anomaly detection, or AIOps practices to improve operational support.
    • Experience with FinOps practices such as tagging standards, budget controls, usage reporting, rightsizing, and cost-aware architecture.
    • AWS, Terraform, GitHub, cloud architecture, DevOps, security, data, or generative AI certification is preferred

Percentage of required travel: up to 100%
Physical requirements:
  • This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, cameras, photocopiers, and filing cabinets.
  • Must be able to lift 15 pounds at times.
  • While performing the duties of this job the employee is required to talk, hear, walk, sit, stand, climb stairs on occasion with prolonged periods of sitting at a desk and working on a computer.
  • Must be able to work effectively and complete tasks in an open office/noisy environment.
  • Must be able to sit for extended periods of time while traveling in a car or airplane.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with MHP Americas, Inc. (ie, H1-B visa, F-1 visa (OPT), or any other non-immigrant status).
At a Glance At a Glance At a Glance
MHP Americas, Inc. is an equal opportunity employer and we take pride in our diversity. In order to provide employment equal and advancement opportunities to all individuals, employment decisions at Porsche will be based on merit, qualifications and abilities. Porsche does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, pregnancy, status as a parent, national origin, age, disability, family medical history, ancestry, medical condition, genetic information, sexual orientation, gender, gender identity, gender expression, marital status, familial status, registered domestic partner status, family and medical leave status, military status, criminal conviction history, or any other characteristic protected by federal, state or local law.
If you are an applicant from the state of California, please review the California Applicant Privacy Notice here .
Exclusive look behind the scenes Exclusive look behind the scenes Exclusive look behind the scenes
As a digitalization pioneer in the mobility and manufacturing industries, MHP transfers its expertise to a wide range of industries and is a premium partner for thought leaders on their way to a Better Tomorrow. MHP serves over 300 customers worldwide. Among them are leading corporations, innovative medium-sized companies, and disruptive start-ups. MHP provides both operational and strategic consulting and delivers proven IT and technology expertise as well as specific industry know-how.
As OneTeam, MHP operates internationally, with headquarters in Germany and subsidiaries in the US, UK, Romania, and China. For over 26 years, MHP has been shaping the future together with its customers. More than 4,000 MHP employees are united by the aspiration for excellence and sustainable success. This aspiration continues to drive MHP - today and in the future.
The salary range for this role is $145,000 - $156,000. However, it is important to note that at MHP, the compensation range is dependent on geographic location. Individual salaries within each range are determined through a wide variety of factors, including but not limited to education, experience, knowledge, and skillset. MHP reviews compensation regularly and may adjust base salaries to reflect market competitiveness.
In addition to salary, individuals may be eligible for a discretionary performance bonus. Our full suite of benefits includes:
  • Paid Vacation
  • Paid Holidays
  • Paid sick leave
  • 401(k) match
  • Medical, dental and vision coverage
  • Tuition and certification reimbursement
  • Life Insurance
  • Short and Long Term Disability Coverage
  • Subsidized gym membership program
  • Subsidized Porsche and VW leasing programs

How to apply? How to apply? How to apply?
With MHP you have a hand in shaping tomorrow, today. Apply now on our JobLocator. Please include all documents such as cover letter, resume, references and project lists (if applicable).
By the way, our recruiting team will review your application both in the context of the specified job, and also cross-departmentally. This way we can evaluate whether there is a suitable position for you anywhere at MHP.
Contact Contact Contact
You can reach our recruiting team at Recruiting-Americas@mhp.com

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