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Full Time Analytics Engineer Dbt Jobs (NOW HIRING)

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Pilot's data stack is Snowflake, dbt, and Looker, with Fivetran and Airflow for ingestion and ... Pilot provides small businesses with dedicated finance experts - which Pilot hires as full-time, U.

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically ... Design, build, and maintain dbt models that transform raw clinical, pharmacy, billing, and care ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Governed semantic models in dbt for our top business KPIs: bookings, occupancy, revenue ... AI-native analytics engineering * Use Claude Code as your primary working environment, including ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically ... Design, build, and maintain dbt models that transform raw clinical, pharmacy, billing, and care ...

Landing

Senior Analytics Engineer

Birmingham, AL · On-site

$97K - $134K/yr

You will own Landing's dbt models, data pipelines, and warehouse architecture - the connective ... Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.

Setpoint

$150K - $170K/yr

We are looking for an Analytics Engineer to join our team supporting our external data products. In ... A technical problem solver: You're fluent in Python, SQL, and DBT, and know how to integrate them ...

Prosum Inc.

Senior BI / Analytics Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

The ideal candidate brings deep expertise in dbt, Snowflake, Power BI, and modern ingestion platforms, with a strong foundation in data modeling, analytics engineering, and business intelligence best ...

Metropolis

Senior Analytics Engineer

Seattle, WA

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Metropolis

Senior Analytics Engineer

Nashville, TN

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Weyerhauser Co

Senior Analytics Engineer

Seattle, WA · On-site

$118K - $163K/yr

You'll spend most of your time modeling data, writing SQL and dbt, building semantic models, and ... full-time employees. Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five ...

Metropolis

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Oscar Health

Lead Analytics Engineer

New York, NY · On-site

$163K - $215K/yr

Define the design standards, patterns, and structure of Oscar's unified dimensional model in dbt ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Metropolis

Senior Analytics Engineer

Los Angeles, CA

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Verse Medical

Analytics Engineer

New York, NY · Remote

$125K - $180K/yr

Analytics Engineer We're hiring an Analytics Engineer to sit at the intersection of data ... Deep dbt proficiency, with experience owning project structure, source definitions, test coverage ...

Weyerhaeuser Company

Senior Analytics Engineer

Seattle, WA · On-site

$118K - $163K/yr

You'll spend most of your time modeling data, writing SQL and dbt, building semantic models, and ... full-time employees. Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five ...

Metropolis

Senior Analytics Engineer

New York, NY

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Oscar Health

Lead Analytics Engineer

New York, NY · Hybrid

$163K - $215K/yr

Define the design standards, patterns, and structure of Oscar's unified dimensional model in dbt ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Metropolis

Senior Analytics Engineer

Los Angeles, CA · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

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All JobsAnalytics Engineer Dbt JobsFull Time Analytics Engineer Dbt Jobs

Full Time Analytics Engineer Dbt information

How much does a dbt analytics engineer make?

A full-time dbt analytics engineer typically earns between $80,000 and $130,000 annually, depending on experience, location, and company size. Salaries for this role often increase with proficiency in SQL, data modeling, and tools like dbt and cloud data platforms.

Is an analytics engineer in demand?

Analytics engineers are in high demand due to the increasing need for data-driven decision-making across industries. Skills in tools like dbt, SQL, and cloud platforms enhance job prospects, and the role often offers competitive salaries and growth opportunities.

What is the difference between Full Time Analytics Engineer Dbt vs Data Analyst?

AspectFull Time Analytics Engineer DbtData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with Dbt, SQLBachelor's in related field; proficiency in Excel, SQL, data visualization tools
Work EnvironmentCollaborates with data engineering and analytics teams, often in tech or finance industriesWorks across departments to interpret data, often in business or marketing sectors
Employer & Industry UsageUsed in companies focusing on data pipelines, analytics automation, and BICommon in organizations needing data reporting, insights, and dashboards

While both roles involve working with data, a Full Time Analytics Engineer Dbt primarily focuses on building and maintaining data models using Dbt, whereas a Data Analyst emphasizes interpreting data and creating reports. The Analytics Engineer is more technical and pipeline-oriented, while the Data Analyst is more business-focused.

Do data analysts use dbt?

Data analysts can use dbt (data build tool) to transform and model data within their workflows, but it is more commonly associated with analytics engineers who focus on data transformation and pipeline development. While some data analysts may incorporate dbt into their skill set, it is primarily used by roles that require managing complex data transformations and maintaining data quality in modern data stacks.

What field is the highest paid data analyst?

The highest paid data analysts typically work in finance, technology, or consulting industries, where complex data analysis and advanced skills in tools like SQL, Python, or R are valued. Specializations such as predictive modeling, machine learning, and experience with big data platforms can also lead to higher salaries.
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Full Time Analytics Engineer Dbt jobs near you
Infographic showing various Full Time Analytics Engineer Dbt job openings in the United States as of June 2026, with employment types broken down into 55% Locum Tenens, 15% Full Time, 15% Part Time, and 15% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Analytics Engineer

Senior Analytics Engineer

Pilot.com

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

Job description

The Role
Pilot is hiring a Senior Analytics Engineer to own our data foundation: the warehouse, the semantic layer, and the ingestion that every team at Pilot runs on.
Pilot launched in 2017 to bring the back office into the modern era. Today, with 3,000+ customers and a fast-growing roster of AI-native services, the company runs on data, and the foundation underneath it is being rebuilt to keep up.
As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and operate it like a well-oiled production system. The work you ship is the foundation every team at Pilot reports, decides, and forecasts against. You own how Pilot's data is shaped, modeled, and surfaced for AI tools, so every team can integrate AI into their workflows safely and reliably.
This is a strong fit for someone who strives to enable and empower others, brings a critical eye to processes and looks for opportunities to automate and streamline them, has clear opinions about what good data foundations look like, and treats AI-coding tools as a default part of how they build.
Pilot's data stack is Snowflake, dbt, and Looker, with Fivetran and Airflow for ingestion and Fivetran Activations (formerly Census) for reverse-ETL. We use Claude Code or Cursor with governed MCP servers (Looker, dbt, Snowflake) as part of our day-to-day workflow.
Location: San Francisco, CA (3 days/week in office - Mondays, Tuesdays, and Thursdays).
Key Responsibilities
  • Architect Pilot's data foundation: the warehouse layout, the semantic layer, and the access patterns that let humans and AI agents use Pilot's data safely and well
  • Methodically plan what each domain's data needs to look like, then ship it as durable, well-documented, well-tested models in dbt
  • Lead the ingestion of new data sources as the business expands: scope what's needed, choose the right pattern (Fivetran, custom Airflow DAG, or partner share), and ship it production-grade with tests and docs
  • Keep the foundation reliable and clean: operate it as a production system and continuously retire what's stale
  • Build AI tools and workflows that uplevel the data team's own work (Claude Code skills, MCP-driven agents)
  • Enable other teams to safely AI-enable their own workflows on Pilot data. For example, scope governed access surfaces, build the patterns that route them to the semantic layer first, and partner on intake review for new Claude Project integrations
  • Set the technical standards: testing, documentation, naming, materialization, deprecation, code review
  • Own Pilot's canonical metrics across the company (including Finance, Sales, Operations, and Marketing)

About you
Requirements:
Even if you don't have experience with the specific technologies in our stack, we'd love to talk to you!
  • 5+ years experience as an Analytics Engineer or Data Engineer with end-to-end ownership of a production warehouse and modeling layer
  • A track record of architecting data platforms that other teams build on
  • Strong SQL and production dbt experience at meaningful scale, including layered architecture, tests, documentation, and CI
  • Snowflake or comparable cloud data warehouse experience
  • Experience with a semantic layer (LookML, dbt Semantic Layer, Cube, MetricFlow, or comparable)
  • Experience streamlining data processes with AI dev tools, and building AI workflows or agents that teammates use day-to-day
  • Working Python proficiency for ingestion code (extending or writing Airflow DAGs, building custom connectors), plus hands-on experience with managed ingestion (Fivetran or comparable) and reverse-ETL (Census or comparable)

Working Style
  • Cares about driving a company-wide data-driven culture through easy data access and self-service
  • Drives to find new tools and ways of working, and spreads them to uplevel the team
  • Takes pride in end-to-end ownership. Cares about how the platform looks and works, with a point of view about where it should go

Nice to Have
  • Experience setting up safe, audited AI access to a data warehouse (allow-listed schemas, audit logs, kill switches)
  • Experience designing data platforms that non-data teams build self-serve workflows on top of
  • Airflow production experience
  • dbt Cloud experience
  • Looker administration experience (permissions, content curation, Spectacles, LAMS)
  • Data observability experience (Elementary, Monte Carlo, or comparable)
  • Fintech, accounting software, or B2B SaaS data background

About Pilot
Pilot launched in 2017 to bring the back office into the modern era. Pilot provides small businesses with dedicated finance experts - which Pilot hires as full-time, U.S.-based employees - who learn the ins-and-outs of their business. Pilot integrates directly with the billing, banking, expense, and payroll systems customers already use. With a special blend of custom software and expert bookkeepers, Pilot delivers accurate, consistent bookkeeping and financial management and tax services that give entrepreneurs the freedom to focus on their business.
Pilot has over 3,000 customers and has raised over $170 million in financing from Sequoia, Index Ventures, Stripe, Bezos Expeditions, and Whale Rock. Our investors also include a long list of world-class entrepreneurs, including Patrick and John Collison, Drew Houston, and Diane Greene. Our most recent funding round doubled our valuation to $1.2 billion - Meet Fintech's Newest Unicorn.
Why Pilot?
  • We invest in our employees' development and happiness because our employees are the keys to our success and ensuring happy customers
  • The opportunity to join a seasoned founding team that has led companies through two prior successful startups and acquisitions (by Oracle and Dropbox).
  • Flexible vacation/time-off policy
  • All federal holidays are observed
  • Competitive benefits package including additional wellness benefits
  • Parental leave for birthing or non-birthing parents - 100% pay for 12 weeks
  • 401(k) plan

The base pay range target for the role seniority described in this job description is $166,000 - $224,000 in San Francisco, CA. Final offer amounts depend on multiple factors such as candidate experience and expertise, geographic location, total compensation, and market data. In addition to cash pay, full-time regular positions are eligible for equity, 401(k), health benefits, and other benefits; some of these benefits may be available for part-time or temporary positions.
Pilot commits to provide a work environment free of discrimination and harassment, as well as equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. You may view all of Pilot's recruiting notices here, including our EEO policy, information about requesting a reasonable accommodation in the job application process, recruitment agency policy, recruitment scam notice, and important E-Verify information. You may view our job candidate privacy policy here.

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