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Remote Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

Stay abreast of the latest trends in AI development, data engineering, and statistical modeling ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

LVTLABS\-Magus

AWS Data Engineer

Atlanta, GA · Remote

$112K - $134K/yr

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

Fetcherr

VP Engineering

Atlanta, GA · On-site +1

$173K - $223K/yr

... remote teams. Technical Depth * Strong background in data engineering, analytics and data science ... Proven experience in cloud-native architectures (preferably GCP). * Experience in scaling systems ...

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Atlanta, GA

Remote Data Engineering information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do remote data engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote data engineering in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Atlanta, GA? The most popular types of Data Engineering jobs in Atlanta, GA are:
What are popular job titles related to Remote Data Engineering jobs in Atlanta, GA? For Remote Data Engineering jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Atlanta, GA look for? The top searched job categories for Remote Data Engineering jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Engineering jobs? Cities near Atlanta, GA with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Atlanta, GA as of July 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.
Senior Azure Integration Engineer (Remote Opportunity)

Senior Azure Integration Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and implementation of the Next Generation Toxic Exposure Risk Activity (TERA) Automated Gateway (TAG) platform for the Department of Veterans Affairs (VA). The Technical Lead will provide hands-on leadership for Azure-based cloud integration, enterprise data pipelines, and secure interoperability with Department of Defense (DoD) systems while collaborating with cross-functional teams throughout the software development lifecycle.

The ideal candidate will work closely with Data Scientists, Solutions Analysts, Architects, Product Owners, and customer stakeholders to design scalable cloud-native solutions using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and modern DevSecOps practices. This position requires strong technical leadership, deep Azure expertise, and experience building enterprise integration solutions in highly regulated environments.

The candidate must reside within the continental US.

Responsibilities

  • Serve as the technical lead for Azure integration and cloud engineering activities, providing architectural guidance and technical oversight.
  • Design, develop, and maintain Azure Data Factory pipelines, Azure Databricks solutions, and Azure Data Lake Storage Gen2 environments for enterprise-scale data ingestion and transformation.
  • Develop secure REST API integrations with the DoD ILER platform and other enterprise systems, ensuring resiliency, scalability, and operational excellence.
  • Establish engineering standards, coding practices, and design patterns while mentoring developers through code reviews and technical guidance.
  • Collaborate with DevSecOps teams to implement CI/CD pipelines, infrastructure automation, monitoring, logging, alerting, and production readiness activities.
  • Produce technical documentation, implementation guides, architecture artifacts, and present technical solutions to leadership and VA stakeholders.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent experience, with 10+ years of software engineering or data engineering experience.
  • 5+ years of experience designing and implementing Microsoft Azure cloud solutions, including Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Strong experience developing enterprise integration solutions using REST APIs, cloud-native services, ETL/ELT architectures, and large-scale data pipelines.
  • Expertise with Python, PySpark, SQL, JSON, Git, Azure DevOps, and Azure Monitor.
  • Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Demonstrated experience leading engineering teams or serving as a technical lead on enterprise software projects, with the ability to collaborate effectively across cross-functional teams.

Additional Qualifications

  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal agencies.
  • Microsoft Azure certifications such as Azure Developer Associate, Azure Solutions Architect Expert, or Azure Data Engineer Associate are highly desirable.
  • Experience with Azure API Management, Azure Functions, Event Grid, Event Hubs, Service Bus, healthcare or military systems integration, and knowledge of NIST, FISMA, FedRAMP, and secure cloud architecture principles.

Benefits

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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