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Remote Data Platform Engineer Jobs in Georgia (NOW HIRING)

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and ... Flexible work environment and remote work options. Join us and be part of a team building ...

Sr Data Architect, Databricks

Alpharetta, GA ยท On-site +1

$65.75 - $87.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Partner with Data Governance, Security, SRE, and Legal teams to align platform design with health ...

Sr Data Architect, Databricks

Alpharetta, GA ยท On-site +1

$65.75 - $87.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Partner with Data Governance, Security, SRE, and Legal teams to align platform design with health ...

AI & Data Systems Engineer (Remote)

Atlanta, GA ยท On-site +1

$161K - $173K/yr

The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically ... The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture ...

Data Engineer

Atlanta, GA ยท On-site +1

$105K - $140K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Engineer

Atlanta, GA ยท On-site +1

$105K - $140K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Web Engineer

Atlanta, GA ยท Remote

$170K - $220K/yr

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data ... Remote position * Various benefits * Will get to have continued ownership around this project and ...

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Remote Data Platform Engineer information

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Georgia? The most popular types of Data Platform Engineer jobs in Georgia are:
What are popular job titles related to Remote Data Platform Engineer jobs in Georgia? For Remote Data Platform Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Georgia look for? The top searched job categories for Remote Data Platform Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Platform Engineer jobs? Cities in Georgia with the most Remote Data Platform Engineer job openings:
Infographic showing various Remote Data Platform Engineer job openings in Georgia as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Analytics Engineer 2026 - US,UK

Aimpoint Digital

Atlanta, GA โ€ข On-site, Remote

$100K - $138K/yr

Full-time

Posted 19 days ago


Job description

Do you enjoy working with clients from different industries to investigate complex business problems and designing 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 analytics & 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 analytics solutions.

You will:

  • Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions
  • Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries
  • Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases
  • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
  • Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD
  • Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance
  • Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code
  • Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications

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 products and trusted datasets 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 Analytics 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
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages, with deep expertise in SQL
  • 3+ years of data modeling experience, including dimensional modeling, star schema, entity-relationship design, and analytics-focused modeling best practices
  • 3+ years building data pipelines in production, with the ability to work across structured, semi-structured and unstructured data
  • 3+ years writing clean, maintainable, and robust code in SQL and/or Python
  • 2+ years\' experience with dbt Core and/or dbt Cloud required
  • Ability to manage an individual workstream independently
  • Expertise in software engineering concepts and best practices, including version control, testing, documentation, and CI/CD
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)โ€ฏpreferred
  • Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc.)โ€ฏโ€ฏpreferred
  • Experience working with cloud platforms such as AWS, Azure, or GCP preferred
  • Experience defining metrics, semantic layers, and reusable business logic for analytics consumption preferred
  • Familiarity with modern BI and visualization platforms such as Power BI, Tableau, or Sigma preferred
  • Experience enabling or accelerating analytics engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Consulting experience strongly preferred

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.