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Analytics Engineer Remote Dbt Jobs (NOW HIRING)

ANALYTICS ENGINEER-REMOTE

Wausau, WI · Remote

$115K - $130K/yr

Job Opening We have an opening for an Analytics Engineer position. Location: Remote with occasional ... Implement testing frameworks (dbt tests, unit tests) to ensure data quality and reliability. Data ...

Analytics Engineer

$140K - $170K/yr

US Remote Reports To: Director of Data and Analytics Salary Range: $140,000-$170,000 Position ... Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the ...

Analytics Engineer

OR · On-site +1

$140K - $170K/yr

US Remote Reports To: Director of Data and Analytics Salary Range: $140,000-$170,000 Position ... Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the ...

Qualifications 3-5+ years in analytics/data engineering with production SQL modeling. Expert SQL on ... Hands‐on with Dataform or dbt (tests, docs, macros, environments). Strong documentation habits ...

Qualifications 3-5+ years in analytics/data engineering with production SQL modeling. Expert SQL on ... Hands‐on with Dataform or dbt (tests, docs, macros, environments). Strong documentation habits ...

The Analytics Engineer will transform raw data into business-ready datasets for various departments ... Responsibilities : • Design, build, test, and document dbt models that turn raw Snowflake data ...

Senior Analytics Engineer

Harrisburg, PA · On-site +1

$103K - $141K/yr

Remote, applicants must reside in PA to be considered for this role In this position, you will ... Deep hands-on expertise with dbt and modern data stack tools (e.g., Snowflake, AWS, Fivetran ...

Analytics Engineer - REMOTE Why you want to work at Flexion: Flexion is looking for an Analytics ... Experience with dbt (data build tool) or similar transformation frameworks * Strong proficiency in ...

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Senior Analytics Engineer

San Mateo, CA · Remote

$105K - $125K/yr

... dbt, and Tableau. You'll transform raw data into reliable, well-modeled datasets and deliver ... Join our dynamic team in a remote capacity, but please note, our core operating hours align with ...

... dbt, and Tableau. You'll transform raw data into reliable, well-modeled datasets and deliver ... Join our dynamic team in a remote capacity, but please note, our core operating hours align with ...

Senior Analytics Engineer (Remote)

OR · Remote

$104K - $143K/yr

We are seeking a Senior Analytics Engineer to join our Product Lifecycle Analytics team, supporting ... Remote : Employees who are working in Remote roles will work primarily offsite (from home). An ...

Senior Analytics Engineer

New York, NY · On-site +1

$114K - $157K/yr

Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA About the Team: As a ... Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake ...

Senior Analytics Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

Hybrid (3 days in office/2 days remote) - New York, NY or Century City , CA About the Team: As a ... Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake ...

Success in this position requires strong SQL skills, experience with dbt-based data modeling, and ... remote work options, growth opportunities, 401K and competitive pay. Apply today! By submitting ...

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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.

ANALYTICS ENGINEER-REMOTE

ESFM USA

Wausau, WI • Remote

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Job Opening We have an opening for an Analytics Engineer position. Location: Remote with occasional travel. Note: online applications accepted only.

Schedule: 8-5 PM CT. Pay Range: $115,000 – $130,000. Company Overview ESFM is the corporate Integrated Facilities Management (IFM) division of Compass Group USA and a Keystone member of the International WELL Building Institute (IWBI).

Rooted in hospitality, ESFM elevates the workplace experience as the single source of innovative FM solutions that ensure a safe, healthy, and sustainable environment. ESFM's clients include many household names from Life Science, Technology, Oil & Gas and Manufacturing markets. ESFM self‐performs 80% of all IFM solutions provided to clients.

Their portfolio of service categories includes Environment, Health & Safety, Facilities Maintenance & Engineering, Sustainability, Janitorial & Industrial Cleaning, Laboratory Support and Workplace solutions. This self‐performance model creates a consistent hospitality experience for clients, resulting in higher engagement and productivity from their employees. In 2020, ESFM (formerly Eurest Services) won the George Graves Award for Facility Management Achievement from the International Facilities Management Association (IFMA).

Job Summary The Analytics Engineer plays a pivotal role in shaping ESFM's modern data platform and enabling the business to make better, faster, and more trusted decisions. This role is responsible for designing and maintaining scalable data models in Snowflake, developing robust ELT pipelines with dbt, and enabling consistent analytics across Power BI and Google Looker. By applying dimensional modeling principles and engineering best practices, the Analytics Engineer will translate business needs into reliable, reusable, and performant data products.

This position sits at the intersection of data engineering and business intelligence, ensuring stakeholders have access to clean, governed, and analytics‐ready data for self‐service insights. Core Responsibilities Data Modeling & Transformation Design and maintain dbt models that transform raw data into trusted, analytics‐ready datasets. Apply dimensional modeling (Kimball) to build optimized star schemas for reporting and self‐service analytics.

Implement testing frameworks (dbt tests, unit tests) to ensure data quality and reliability. Data Integration & ELT Develop and manage automated ELT pipelines in dbt and Snowflake. Integrate new data sources (e.g., ServiceNow, SaaS platforms) and collaborate with data engineers to optimize workflows and orchestration.

Analytics Enablement Build and maintain semantic layers in Power BI and Looker (LookML) for consistent KPIs and definitions. Align data models with business objectives and optimize for performance and ease of use. Engineering Best Practices Use Git/GitHub for version control and CI/CD tools (e.g., dbt Cloud, GitHub Actions) for safe, automated deployments.

Monitor and optimize Snowflake performance, ensuring scalability and cost efficiency. Apply observability practices (logging, query monitoring) to proactively detect and resolve issues. Collaboration & Governance Partner with analysts, data scientists, and business teams to deliver actionable insights.

Communicate technical concepts clearly and promote data governance, documentation, and best practices. Maintain security, access controls, and documentation across data models, pipelines, and BI platforms. Continuous Improvement Stay current with modern data stack tools and recommend enhancements to improve efficiency and scalability.

Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field; or equivalent experience. 3+ years of experience in analytics engineering, data engineering, or a related role. Hands‐on expertise designing star schemas, fact tables, and conformed dimensions following Kimball best practices.

Proven hands‐on experience with dbt for ELT pipeline development. Strong proficiency with Snowflake, including query optimization and performance tuning. Demonstrated application of Kimball dimensional modeling and star schema design.

Experience designing semantic models in Power BI and/or Looker (LookML preferred). Advanced SQL skills with large, complex datasets. Proficiency with Git/GitHub for version control and collaborative workflows.

Experience managing multi‐environment workflows (dev → staging → prod). Knowledge of data observability, governance, and role‐based access security. Certifications or equivalent practical expertise with Snowflake, Google Looker, Power BI, and dbt tools.

Excellent communication skills with both technical and business stakeholders. Strong sense of ownership, accountability, and attention to detail. Preferred / Bonus Skills Experience implementing CI/CD pipelines for dbt or data engineering workflows.

Exposure to Python for scripting, automation, or data integration. Familiarity with ServiceNow data structures or other enterprise SaaS systems. Knowledge of data quality frameworks (e.g., Great Expectations, Monte Carlo, Soda).

Benefits Full‐time and part‐time positions offer the following benefits to associates: Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Voluntary Benefits including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program. Full‐time positions also offer: Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws.

For positions in Washington State, Maryland, or to be performed Remotely, click here for paid time off benefits information. About Compass Group Compass Group is an equal opportunity employer. At Compass, we are committed to treating all applicants and associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law.

Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity.

Applications are accepted on an ongoing basis. ESFM maintains a drug‐free workplace. #J-18808-Ljbffr