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

PadSplit

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 ...

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 ...

Merci Technologies - Talent

AWS Cloud Engineer

Atlanta, GA · Remote

$53.50 - $71.75/hr

Remote About the Role: Merci Technologies is seeking an AWS Cloud Engineer to design, build, and maintain scalable cloud infrastructure for an enterprise client. In this role you will work across ...

The AES Group

Backend Engineer - Asp.net

Atlanta, GA · Remote

Remote Let's create our future together at The AES Group! About The AES Group: The AES Group is a ... with the power of cloud, data, AI, engineering, and other emerging technologies. Details:

System One

AWS Cloud Security Engineer

Duluth, GA · Remote

$57 - $76.25/hr

AWS Cloud Security Engineer Remote What You Will Do We are seeking an AWS Cloud Security Engineer to support a large-scale cloud modernization effort for a federal client. This role will focus on ...

IQVIA

Associate Director, Data Analytics

Atlanta, GA · Remote

Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

System One

AWS Cloud Security Engineer

Duluth, GA · Remote

$57 - $76.25/hr

AWS Cloud Security Engineer Remote What You Will Do We are seeking an AWS Cloud Security Engineer to support a large-scale cloud modernization effort for a federal client. This role will focus on ...

FHR

MO1-613-Senior Azure Cloud Engineer 11694-1

Atlanta, GA · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... I consent to FHR, its affiliates, third parties and partners processing my personal data for these ...

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All JobsCloud Data Engineer JobsRemote Cloud Data Engineer JobsRemote Cloud Data Engineer Jobs in Atlanta, GA

Remote Cloud Data Engineer information

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

As of Sep 8, 2026, the average hourly pay for remote cloud data engineer in Atlanta, GA is $60.47, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $68.89 per hour, depending on experience, location, and employer.

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.

What are the key skills and qualifications needed to thrive as a remote cloud data engineer?

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

How does a remote cloud data engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

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

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

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

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

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

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

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

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

Remote Cloud Data Engineer jobs near you
Infographic showing various Remote Cloud Data Engineer job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,787 per year, or $60.5 per hour.

Data Engineer (Fully Remote)

PadSplit

Atlanta, GA • On-site, Remote

$150K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

The Role We Need
PadSplit is growing its analytics platform and needs a hands-on Data Engineer to work alongside our existing DE lead. This person will build and maintain ingestion and transformation pipelines across Dagster (or Airflow), dbt, and Snowflake, with supporting work in Python, Airbyte, and AWS. The role combines building new pipelines and data models with providing real coverage on critical paths - especially the daily Postgres - Snowflake - dbt flow and third-party API loads - all shipped through reviewed pull requests rather than one-off scripts.
The Person We Are Looking For
We're looking for a practitioner who thinks natively in dimensions, facts, and slowly changing dimensions - someone who knows when to use a full refresh versus an incremental load and how that choice affects idempotency and backfills. This person writes clear, reviewable PRs and gives equally thoughtful reviews, with attention to scoped diffs, sensible tests, and failure modes. They're comfortable in complex Python data flows and have enough AWS literacy to reason about task roles, buckets, and cross-account access without needing to own all of platform engineering.
Here's What You'll Be Doing Day-to-Day:
  • PR-driven shipping: Opening and merging pull requests for new or updated Dagster jobs, assets, schedules, and sensors, plus dbt models, tests, and documentation.
  • Infrastructure tweaks: Writing occasional Terraform for secrets, environment variables, or job sizing when a pipeline needs it.
  • Pipeline implementation: Building and debugging Python pipelines covering REST/API syncs, large Postgres extracts, Parquet loads, and Snowflake COPY operations.
  • Airbyte management: Configuring or troubleshooting Airbyte connections wherever managed sync is the right fit.
  • Production monitoring: Watching production runs and investigating failures related to IAM, OOM, Spot instances, or bad watermarks.
  • Backfills & catch-ups: Running backfills and incremental catch-ups with a clear story for what landed and why.
  • Modeling partnership: Working with analytics and product on dim/fct/x_fct design, incremental strategies, and data quality.
  • Code review & runbooks: Participating in code review, release prep, and writing short runbooks so others can operate your pipelines when you're out.

Here's What You'll Need to Be Successful:
  • Warehouse fundamentals: Solid grasp of relational databases and warehouse patterns - keys, grain, normalization vs. star schema, and how SCD behavior gets encoded.
  • Orchestration experience: Practical, hands-on Dagster (or Airflow) experience - not just writing SQL inside a scheduler UI.
  • dbt proficiency: Real experience building and maintaining models, tests, and documentation in dbt.
  • Python at scale: Comfort reading and writing Python that moves data at scale across extract, transform, and load steps.
  • AWS working knowledge: Practical familiarity with S3, IAM, and ECS/Fargate at a "debug my job" level.
  • EL tool familiarity: Experience with Airbyte or similar extract-and-load tools.
  • PR discipline: The discipline to write pull requests others can easily review, and to give equally rigorous reviews in return.
  • Reliability mindset: A track record of keeping pipelines healthy and modeling consistent across full refresh and incremental paths, without becoming a single point of failure.

The Interview Process:
  • Your application will be reviewed for possible next steps by a real human being from the PeopleOps team.
  • If you meet eligibility requirements, the next step would be a video interview with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our Principal Data Scientist for forty-five (45) minutes.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one and a half (1.5) hours.
  • If warranted, the next and final step would be a video interview with a key leader in the company for thirty (30) minutes.
  • If warranted, we move to offer!

Compensation, Benefits, and Perks:
  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

$150,000 - $165,000 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
Notice to Applicants:
PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.
PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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