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Remote Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Senior Data Engineer

Atlanta, GA ยท Remote

$101K - $138K/yr

Data Engineering & Preparation * * Clean, preprocess, and transform raw data for analysis and ... Disability Remote Work Flexibility Momentive Software actively embraces diversity and equal ...

Data Platform Engineer

Atlanta, GA ยท Remote

$100K - $150K/yr

... our core data engineering, data analytics and machine learning capabilities. Your work will ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Engineer- Full Time Opportunity, NOT C2C

Duluth, GA ยท On-site +1

$105K - $126K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience). * 2+ years of experience in data engineering, software ...

Senior software engineer

Atlanta, GA ยท Remote

$117K - $155K/yr

Title-Senior software engineer Remote seeking a Senior Software Engineer with strong backend expertise in Java, Spring Boot, SQL, .NET 10 and real-time data streaming using Apache Kafka. This role ...

VP Engineering

Atlanta, GA ยท On-site +1

$173K - $223K/yr

... remote teams. Technical Depth * Strong background in data engineering, analytics and data science ... Proven experience in cloud-native architectures (preferably GCP). * Experience in scaling systems ...

AWS Data Engineer

Atlanta, GA ยท Remote

$112K - $134K/yr

Perform data cleansing, data validation etc \n \n \n 3. Hands on ETL developer who is good at ... Toronto ON, Atlanta GA and Remote.\n \n \n \n \n \n

Big Data Engineer

Atlanta, GA ยท On-site

$48 - $50/hr

Data Engineering and Integration Expertise, Data Governance and s Knowledge, Databricks, Technical delivery * Data Modeling (Capable) * Experience: 10 - 15 Years Our client is a leading IT Industry ...

AI and Data Science Engineer III

Atlanta, GA ยท On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

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Remote Data Engineering information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do remote data engineering jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote data engineering in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Atlanta, GA? The most popular types of Data Engineering jobs in Atlanta, GA are:
What job categories do people searching Remote Data Engineering jobs in Atlanta, GA look for? The top searched job categories for Remote Data Engineering jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Engineering jobs? Cities near Atlanta, GA with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Atlanta, GA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Senior Analytics Engineer 2026 - US,UK

Aimpoint Digital

Atlanta, GA โ€ข On-site, Remote

$100K - $138K/yr

Full-time

Posted 18 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)preferred
  • Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc.)preferred
  • 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.

Employment Type: FULL_TIME