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Remote Snowflake Jobs in Georgia (NOW HIRING)

Data Engineer (Fully Remote)

Atlanta, GA ยท Remote

$150K - $165K/yr

... Snowflake, with supporting work in Python, Airbyte, and AWS. The role combines building new ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Data Quality Engineer

Alpharetta, GA ยท Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Snowflake data warehouse architecture and validation * Oracle database systems * Data ...

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Uses analytical tools such as SQL, Microsoft Excel, Essbase, Snowflake and PowerBI to access and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

This remote role is ideally based in the United States, with overlap with US business hours (ET-PT ... Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost ...

Remote Data QA

Atlanta, GA ยท Remote

$93K - $162K/yr

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United ... Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact ...

Remote Data QA

Atlanta, GA ยท Remote

$93K - $162K/yr

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United ... Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact ...

Remote Data QA

Atlanta, GA ยท On-site +1

$93K - $162K/yr

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United ... Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

AI LLM Engineer

Atlanta, GA ยท On-site +1

... as Snowflake and modern analytics ecosystems like Power BI/Fabric. The position focuses on ... This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ...

Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ... Experience with Snowflake is a plus. Excellent problem-solving and analytical skills. Ability to ...

Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Build and support Snowflake-based solutions , including loading, transforming, and validating data ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Build and support Snowflake-based solutions , including loading, transforming, and validating data ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Build and support Snowflake-based solutions , including loading, transforming, and validating data ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Remote Snowflake information

See Georgia salary details

$30

$57

$71

How much do remote snowflake jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote snowflake in Georgia is $57.09, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $64.76 per hour, depending on experience, location, and employer.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work-from-home policy?

Remote Snowflake positions typically offer a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

What are the most commonly searched types of Snowflake jobs in Georgia?

The most popular types of Snowflake jobs in Georgia are:

What cities in Georgia are hiring for Remote Snowflake jobs?

Cities in Georgia with the most Remote Snowflake job openings:

Infographic showing various Remote Snowflake job openings in Georgia as of September 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,738 per year, or $57.1 per hour.

Data Engineer (Fully Remote)

Atlanta, GA โ€ข Remote

PadSplit
Real Estateย โ€ขย 51 - 200 employees

$150K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Key responsibilities

  • Build and maintain data ingestion and transformation pipelines using Dagster (or Airflow), dbt, and Snowflake.

  • Open and merge pull requests for pipelines, models, tests, and documentation, and participate in code reviews.

  • Monitor production runs, troubleshoot failures, and perform backfills and incremental data updates.


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) planย 
  • 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:ย 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.
ย 
Notice to Applicants:
ย 
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.
ย 
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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