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Analytics Engineer Remote Dbt Jobs (NOW HIRING)

Confidently navigate dbt to trace lineage and debug models. * Make modeling decisions (grain ... LI-remote We may use artificial intelligence (AI) tools to support parts of the hiring process ...

Confidently navigate dbt to trace lineage and debug models. * Make modeling decisions (grain ... LI-remote We may use artificial intelligence (AI) tools to support parts of the hiring process ...

Analytics Engineer

Austin, TX ยท On-site +1

$85K - $95K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Build and maintain dbt models that transform raw data from multiple sources into clean, tested ...

Data Engineer

$75 - $100/hr

You will work with engineering and analytics teams to improve data quality, lineage, and ... Remote in the United States Preferred Qualifications * dbt, Spark, or Kafka/streaming experience

This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys working at the intersection of healthcare economics, PBM operations and data modeling. The ideal candidate ...

Senior Analytics Engineer

$107K - $146K/yr

You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion ... Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data ...

Senior Analytics Engineer

Manhattan, NY ยท On-site +1

$115K - $158K/yr

You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion ... Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data ...

Senior Analytics Engineer

New York, NY ยท On-site +1

$114K - $157K/yr

You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion ... Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data ...

Analytics Engineer

$121K - $175K/yr

Experience with DBT, databricks, or similar SQL-transformation tool is a must * A bachelor's degree ... To review our candidate privacy notice, click here. #LI-Remote

Data Operations Engineer

Sunnyvale, CA ยท Remote

$136K - $163K/yr

Data Operations Engineer Remote 12+ contract to hire. Unable to sponsor now or later. The Data ... dbt models, manage version control with Git, and partner with engineering and analytics teams to ...

$99K - $136K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your ...

Analytics Engineer

Manhattan, NY ยท On-site +1

$121K - $175K/yr

We are looking for an Analytics Engineer to join SeatGeek's Data team. You will join a high ... Experience with DBT, databricks, or similar SQL-transformation tool is a must * A bachelor's degree ...

Exposure to data warehousing concepts and modern data stack tools (e.g., dbt, Snowflake, Redshift ... This specific role is primarily remote, with occasional travel to an office or client site.

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Analytics Engineer Remote Dbt information

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$36K

$97K

$148.5K

How much do analytics engineer remote dbt jobs pay per year?

As of Jun 5, 2026, the average yearly pay for analytics engineer remote dbt in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Analytics Engineer specializing in dbt, and why are they important?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

How does an Analytics Engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What is an Analytics Engineer and what do they do, especially in a remote role using dbt?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

More about Analytics Engineer Remote Dbt jobs
What cities are hiring for Analytics Engineer Remote Dbt jobs? Cities with the most Analytics Engineer Remote Dbt job openings:
What states have the most Analytics Engineer Remote Dbt jobs? States with the most job openings for Analytics Engineer Remote Dbt jobs include:
Infographic showing various Analytics Engineer Remote Dbt job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $96,970 per year, or $46.6 per hour.

Senior Analytics Engineer 2026 - US,UK (Remote)

Aimpoint Digital

Atlanta, GA โ€ข Remote

$107K - $146K/yr

Full-time

Posted 25 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.