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Remote Snowflake Jobs in Georgia (NOW HIRING)

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

... Snowflake, Redshift, BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Humana

Senior IT Project Manager

Atlanta, GA · On-site +1

$126K - $126K/yr

Experience with Databricks, Snowflake, Python, ETL work, data projects, web projects, or backend ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Northspyre

Data Journalist

Atlanta, GA · On-site +1

SQL experience (Snowflake preferred) and advanced Excel skills. * The ability to turn analysis into ... Hybrid & Remote opportunities - we have an Amazing new office in Midtown Atlanta * You will be part ...

Worldpay

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI) * Agile ...

The Altus Group

Consultant, Advisory (Atlanta)

Atlanta, GA · On-site +1

$65K - $95K/yr

R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake ... and remote work for focused tasks. Inclusivity & Accessibility Altus Group is committed to ...

INFT Solutions Inc

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110K - $132K/yr

Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data validation, monitoring ...

Cox Communications, Inc.

Analytics Engineer

Atlanta, GA · On-site +1

$101K - $169K/yr

Contributes to semantic layer documentation and metadata that enable AI-powered analytics tools (e.g., Snowflake Cortex Analyst) to accurately interpret and respond to natural language queries ...

BeyondTrust

Sr Data Engineer

Johns Creek, GA · On-site +1

$98K - $133K/yr

Snowflake experience * AWS Athena serverless data warehousing One (1) year of experience in the following (experience may be gained concurrently): * Hadoop ecosystem * Hive and Presto * YARN resource ...

Axiom

Data Architect (Remote)

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers - deployed ...

INFT Solutions Inc

Remote -AWS Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Remote Employment Type: Contract / Full-Time Job Summary We are seeking a highly skilled AWS Data Engineer with strong experience in building scalable cloud-native data platforms and ETL pipelines on ...

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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 Jul 20, 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.

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

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 is a Remote Snowflake job?

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.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

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.

What are the most commonly searched types of Snowflake jobs in Georgia? The most popular types of Snowflake jobs in Georgia are:
What are popular job titles related to Remote Snowflake jobs in Georgia? For Remote Snowflake jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Snowflake jobs in Georgia look for? The top searched job categories for Remote 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:
Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in Georgia as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $118,738 per year, or $57.1 per hour.

Data Platform Engineer

Worth AI

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You'll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you'll do:

  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or "data-as-a-service" offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources

Apply