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Full Time Remote Data Modeler Jobs in Atlanta, GA

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

We are seeking a Master Data Management (MDM) Specialist to support both ongoing ERP conversion ... Operates well in a fast-moving, wave-based implementation model Compensation * Salary range of $90 ...

AIG

Director, Warranty Data Governance

Atlanta, GA · On-site +1

... operating model. The candidate is responsible for leading a team of data analysts with cross ... Understands virtual and remote management best practices. * Experience with cloud data and AI ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

... on a full-time basis without the need for current or future immigration sponsorship. Are you ... They will lead Analytics Model development, validation, monitoring, and visualization. Location ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

... on a full-time basis without the need for current or future immigration sponsorship. Are you ... They will lead Analytics Model development, validation, monitoring, and visualization. Location ...

GreenSlate

Benefits Data Analyst

Atlanta, GA · Remote

JOB BRIEF The Benefits Data Analyst will be responsible for analyzing, coordinating, and optimizing ... * Full-Time Remote Flexibility: Enjoy working remotely with all the tools and support needed to ...

GreenSlate LLC

Benefits Data Analyst

Atlanta, GA · On-site +1

JOB BRIEF The Benefits Data Analyst will be responsible for analyzing, coordinating, and optimizing ... * Full-Time Remote Flexibility: Enjoy working remotely with all the tools and support needed to ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Independentlydesignsanddevelops statistical models andanalytical solutions. * Develops ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

Master Data Specialist - Remote Infrastructure Products Group Atlanta, Georgia, United States Job ... Operates well in a fast-moving, wave-based implementation model Compensation * Salary range of $90 ...

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Full Time Remote Data Modeler information

See Atlanta, GA salary details

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How much do full time remote data modeler jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for full time remote data modeler in Atlanta, GA is $56.46, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $65.67 per hour, depending on experience, location, and employer.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Atlanta, GA?

The most popular types of Remote Data Modeler jobs in Atlanta, GA are:

What are popular job titles related to Full Time Remote Data Modeler jobs in Atlanta, GA?

For Full Time Remote Data Modeler jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Modeler jobs in Atlanta, GA look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Full Time Remote Data Modeler jobs?

Cities near Atlanta, GA with the most Full Time Remote Data Modeler job openings:

Full Time Remote Data Modeler jobs near you
Infographic showing various Full Time Remote Data Modeler job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $117,440 per year, or $56.5 per hour.

Data Platform Engineer

Worth AI

Atlanta, GA • Remote

$117K - $140K/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