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Full Time Remote Data Modeler Jobs in Atlanta, GA

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US.

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US.

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US.

Data Engineer - GCP

Atlanta, GA ยท Remote

$117K - $140K/yr

Flexible work environment and remote work options. Join us and be part of a team building ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Flexible work environment and remote work options. Join us and be part of a team building ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

AWS Data Architect

Atlanta, GA ยท Remote

$130K - $165K/yr

Experience modeling data for REST APIs * Experience with data transformation and Domain-Driven Design Desired Certifications : * AWS Solution Architect - Associate This position can be remote and ...

AWS Data Architect

Atlanta, GA ยท On-site +1

$130K - $165K/yr

Experience modeling data for REST APIs * Experience with data transformation and Domain-Driven Design Desired Certifications : * AWS Solution Architect - Associate This position can be remote and ...

Data Scientist

Atlanta, GA ยท On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Posted today

Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... models that support enterprise reporting, analytics, data migration, and operational decision ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

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 ... Data modeling, normalization, and relational design * Handling and validating XML and JSON data ...

You will lead the implementation of advanced data modeling strategies, integrate AI and machine ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

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Full Time Remote Data Modeler information

See Atlanta, GA salary details

$9

$56

$79

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:

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.

Senior Data Engineer 2026 - US

Aimpoint Digital

Atlanta, GA โ€ข On-site, Remote

$101K - $138K/yr

Full-time

Re-posted 20 days ago


Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes
  • Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 2+ years' experience with dbt Core and/or dbt Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Comfortable working independently on individual workstream, owning end-to-end delivery from design through production
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US. Atlanta applicants will have the opportunity to work from headquarters in Sandy Springs, GA.