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Analytics Engineer Remote Dbt Jobs (NOW HIRING)

Forward Financing LLC

Senior Analytics Engineer

$107K - $146K/yr

The Analytics Engineering team at Forward plays a central role in our Data ecosystem, partnering ... You'll help shape and operate our modern analytics platform (dbt, Fivetran, Snowflake, Datafold ...

Alpaca

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 ...

Setpoint

Staff Analytics Engineer

Austin, TX · On-site +1

We are looking for a Staff Analytics Engineer to join our team supporting our external data ... A technical problem solver - you're fluent in Python, SQL, and DBT, and know how to integrate them ...

Metabase

Analytics Engineer

$95K - $190K/yr

... dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science ... remote-first environment. We're a global team (50% outside the US), fully distributed (from ...

Metabase

$95K - $190K/yr

... dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science ... remote-first environment. We're a global team (50% outside the US), fully distributed (from ...

Gemini

Senior Analytics Engineer

New York, NY · On-site +1

$126K - $180K/yr

Experience with modern data transformation frameworks such as dbt * Experienced in working ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Félix

Analytics Engineer, Payments

The role of Analytics Engineer, Payments involves ensuring disbursement efficiency and improving ... DBT is a must. • The "Felix" Vibe: A startup mindset--you are proactive, you have a bias towards ...

Harvey

Senior Analytics Engineer, Finance

They are seeking a versatile Senior Analytics Engineer to partner closely with the Finance team in ... Responsibilities : • Design and build scalable data models and pipelines using dbt to transform ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site +1

Build and maintain dbt models using a layered architecture, applying software engineering best ... Treat the analytics codebase with the same rigor as production application code. * Configure self ...

Locatee Ag

Staff Analytics Engineer

Direct experience with Omni, with Redshift, or with dbt in production. * Familiarity with deploying ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

Vanta

Senior Analytics Engineer

$157K - $185K/yr

Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake ... Remote workspace, internet, and cellphone stipend * Commuter benefits for team members who report ...

Fieldguide

Senior Analytics Engineer

San Francisco, CA · Remote

$175K - $200K/yr

We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic ... Migrate production report logic into governed, tested, and portable dbt models, strengthening test ...

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Analytics Engineer Remote Dbt information

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

As of Aug 7, 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.

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?

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 are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

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.

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:
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What job categories do people searching Analytics Engineer Remote Dbt jobs look for? The top searched job categories for Analytics Engineer Remote Dbt jobs are:
Analytics Engineer Remote Dbt jobs near you
Infographic showing various Analytics Engineer Remote Dbt job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $96,970 per year, or $46.6 per hour.

Senior Analytics Engineer

Forward Financing LLC

Remote

$107K - $146K/yr

Full-time

Re-posted 5 days ago

Job description

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience - with long-term success in mind every step of the way.
The Analytics Engineering team at Forward plays a central role in our Data ecosystem, partnering with technical and business stakeholders to convert raw data into trusted, AI-ready insights. Our team builds and optimizes data infrastructure, designs the data models and semantic layer that power Forward's source of truth, and develops the pipelines that fuel business intelligence, advanced analytics, predictive modeling, and the next generation of AI-driven experiences at the company.
As a Senior Analytics Engineer, you will design, build, and maintain the data models and semantic layer that power Forward - collaborating with Data Engineering, Data Science, DevOps, Business Intelligence, and Product. You'll help shape and operate our modern analytics platform (dbt, Fivetran, Snowflake, Datafold, Tableau) and play a direct role in building the AI-ready data foundation that supports Snowflake Intelligence, agent-based use cases, and machine learning at Forward - delivering high-quality data products that drive innovation and informed decision-making across the organization.
In This Role You Will:
  • Design, develop, and optimize scalable dimensional data models and marts using dbt
  • Build and extend Forward's semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products
  • Help deliver the data foundation that powers AI at Forward - contributing the high-quality models, metadata, and governance that make Snowflake Intelligence and other AI/agent use cases trustworthy and production-ready
  • Advance Forward's data centralization vision by collaborating across BI, Data Science, Data Engineering, and Product to consolidate sources of truth and eliminate fragmented business logic
  • Act as the primary liaison with the Data Science team to translate features into production-ready data variables required for training and validating predictive models
  • Collaborate closely with the Data Engineering team to ensure the robust, reliable deployment and orchestration of data variables that feed production machine learning models
  • Partner with the Core Technology teams on internal application schema changes and data migrations, ensuring rigorous data accuracy validation and maintaining minimal disruption to downstream analytical models
  • Collaborate with the DevOps team to monitor, maintain, and contribute to our independent, high-performance streaming pipelines tailored for real-time analytics use cases
  • Elevate team code quality by serving as a technical reviewer for Analytics team pull requests, coaching junior members, and enforcing strict adherence to internal standards for style, maintainability, performance, and modern best practices
  • Evaluate, integrate, and operationalize high-value third-party data sources to strategically enrich and expand the overall data ecosystem
  • Champion data governance and quality across the data platform - including automated dbt tests, thorough data cataloging, lineage, and compliance with security and regulatory standards - so stakeholders and AI systems can both rely on the numbers
Role Requirements:
(Even if you don't check every box, but see yourself contributing, please apply.)
  • 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence
  • 2+ years of hands-on experience developing and maintaining production-level data transformation pipelines using dbt or equivalent scripting experience in Python
  • 2+ years of experience with a cloud-based data warehouse such as Snowflake or Redshift
  • Advanced proficiency in SQL and dimensional data modeling, with a track record of building models that are durable, well-tested, and easy for downstream consumers to use
  • Demonstrated strong ability to quickly translate complex business needs and ambiguous requirements into robust, scalable technical data solutions
Bonus Qualifications:
  • Hands-on experience with Python for data scripting, automation, or predictive modeling support
  • Experience designing or contributing to a semantic layer / metrics layer that serves as an organizational source of truth
  • Experience building data products that support AI, LLM, or agent-based applications (e.g., Snowflake Intelligence, Cortex, RAG over warehouse data, or similar)
  • Familiarity with streaming/CDC pipelines (Streamkap, Fivetran, Kafka) and real-time analytics use cases
  • Experience in fintech, lending, or another regulated, data-intensive industry
Compensation:
Annual Targeted Salary: $145,000- $170,000 USD
Annual Target Bonus: 10%
At Forward Financing, we're committed to fair and transparent compensation. We believe in providing a compensation package that recognizes your skills, experience, and the unique value you bring to our team. We take a market-based approach to pay, regularly reviewing benchmark data to ensure our compensation remains competitive, equitable, and aligned with our performance-driven culture.
Final offers are determined by a variety of factors, including the candidate's qualifications, relevant experience, specific skills, and internal equity. This approach ensures that our compensation is competitive and equitable. Your recruiter will provide specific details on the expected base and variable earnings as it pertains to this specific role.

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