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

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 ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ...

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ...

Senior Cloud Devops Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

This is a role for a cloud-native engineer who brings deep AWS and Kubernetes expertise, a strong ... and remote state management. * Hands-on Amazon EKS experience including managed node groups ...

Remote role in the US, Canada or Europe Role Overview At Uncapped, we help ambitious founders ... Your building blocks are Clay, sequencers, enrichment APIs, CRM data and deliverability tooling ...

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

Master Data Specialist - Remote Infrastructure Products Group Atlanta, Georgia, United States Job ... We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ...

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Showing results 41-60

Remote Amazon Data Engineer information

See Duluth, GA salary details

$41K

$119.4K

$163.4K

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

As of Aug 22, 2026, the average yearly pay for remote amazon data engineer in Duluth, GA is $119,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 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 Duluth, GA?

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

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

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

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

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

Infographic showing various Remote Amazon Data Engineer job openings in Duluth, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,394 per year, or $57.4 per hour.

Data Architect, Databricks

McKesson

Alpharetta, GA • On-site, Remote

$62.25 - $80/hr

Full-time

Re-posted 11 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

CoverMyMeds' Data & Analytics organization is seeking aData Architect (Databricks)to define and scale our enterprise data platform strategy on Azure. This role will architect, standardize, and accelerate adoption of a modern Databricks lakehouse platform across the organization. You will partner closely with engineering, analytics, governance, and business teams to deliver scalable, secure, and high-performing data solutions that enable critical healthcare outcomes. This is ahands-on architecture rolewhere you will both design platform strategy and actively contribute to implementation.

Why this role matters:Our team is early in its Databricks maturity journey, and this hire willestablish foundational standards, processes, and scaling capabilities across the platform.

* Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate.

*McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKessonto provide immigration support or sponsorship now or in the future, you should not apply for this position.

What You'll Do:

  • Own end-to-end architecture for the Databricks-on-Azure lakehouse platform, including workspace design, Unity Catalog governance, storage topology, and cluster policies

  • Define and scalemedallion architecture standards (Bronze, Silver, Gold)across domains

  • Establishplatform standards and reusable patternsto accelerate Databricks adoption across teams

  • Design and implement secure, compliant data access frameworks (RBAC, ABAC, row/column-level security)

  • Lead CI/CD and DevOps patterns for Databricks deployments, ensuring audit-ready pipelines

  • Optimize performance and cost across Delta Lake pipelines (partitioning, clustering, Photon, optimization strategies)

  • Build reusable ingestion frameworks for structured and streaming data (API, Kafka, CDC, batch pipelines)

  • Partner with Data Governance, Security, SRE, and Legal teams to align platform design with healthcare compliance requirements

  • Provide architectural guidance on PHI/PII data handling and lifecycle management

  • Evaluate and recommend platform tooling (build vs. buy decisions)

  • Mentor engineers and architects; establish design reviews and documentation practices

Basic Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or relative experience, and typically requires 7+ years of experience in data engineering and data architecture

  • Proven experience building and scaling Databricks platformsfrom the ground up, including workspace provisioning, Unity Catalog, and governance frameworks

  • Strong hands-on expertise inDatabricks and Azure(ADLS Gen2, networking, identity, security)

  • Demonstrated ability to remaintechnically hands-on while leading architecture decisions

  • Deep expertise in Delta Lake, including performance optimization and data lifecycle management

  • Experience designing enterprise data platforms in regulated environments (e.g., PHI/PII handling)

  • Strong understanding of data governance, access controls, and compliance frameworks

  • Proven ability to establish standards, drive adoption, and influence multiple engineering teams

Preferred Skills & Experience:

  • Experience in healthcare or other regulated industries (HIPAA, PHI, compliance-driven environments)

  • Experience scaling early-stage Databricks platforms and building enterprise-wide standards

  • Familiarity with streaming and event-driven architectures (Kafka, Structured Streaming)

  • Experience with Infrastructure-as-Code tools (Terraform, Azure Bicep)

  • Knowledge of Databricks advanced features (Delta Live Tables, Unity Catalog federation, Delta Sharing)

  • Experience supporting AI/ML data readiness and feature engineering pipelines

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$124,100 - $206,900

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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