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Senior Analytics Engineer Dbt Jobs (NOW HIRING)

Seismic

Senior Analytics Engineer

Overview We're looking for a Senior Analytics Engineer to join Seismic's Corporate Data & Analytics ... Partner with FP&A, Accounting, and Systems teams to build and maintain trusted dbt models for ...

Alloy

Senior Analytics Engineer

New York, NY · Hybrid

What you'll be doing As a Senior Analytics Engineer, you will be a technical anchor for how Alloy ... Design and build robust dbt models that serve as the authoritative foundation for analytics ...

Varos

Senior Analytics Engineer

Varos Research is a fast-growing startup seeking a Senior Analytics Engineer to build product ... The role involves extensive work with SQL, DBT, and Python, as well as leveraging LLMs for data ...

Alloy

Senior Analytics Engineer

New York, NY · On-site

What you'll be doing As a Senior Analytics Engineer, you will be a technical anchor for how Alloy ... Design and build robust dbt models that serve as the authoritative foundation for analytics ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ... Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and ...

Brigit

Senior Analytics Engineer

$107K - $146K/yr

As a Senior Analytics Engineer, you will own the analytics layer end-to-end, ensuring trustworthy ... Responsibilities : • Own the dbt project(s). Maintain, evolve, and review pull requests across ...

Ironclad

Senior Analytics Engineer

New York, NY · On-site

$147K - $184K/yr

About the Role As a Senior Analytics Engineer, you will be responsible for developing and optimizing our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic ...

Plaid Inc

Senior Analytics Engineer

San Francisco, CA · On-site

$157K - $214K/yr

As a Senior Analytics Engineer on the Marketing pod, you will be the technical owner of Plaid ... Own the dbt models and data marts that power Marketing analytics, activation, and reporting.

Pelago

Sr. Analytics Engineer

New York, NY · On-site

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ... Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and ...

Premier Truck Rental

Senior Analytics Engineer

Austin, TX

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote ...

Premier Truck Rental

Senior Analytics Engineer

Atlanta, GA · On-site

$100K - $138K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote ...

Brigit

Senior Analytics Engineer

New York, NY · On-site

$170K - $190K/yr

As our Senior Analytics Engineer, you'll own the analytics layer end-to-end: the dbt models, the ... Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in ...

Premier Truck Rental

Senior Analytics Engineer

Dallas, TX

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote ...

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Senior Analytics Engineer Dbt information

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$59.5K

$126.6K

$183.5K

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

As of Jul 31, 2026, the average yearly pay for senior analytics engineer dbt in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

How does a Senior Analytics Engineer using dbt typically collaborate with data analysts and data engineers within a team?

As a Senior Analytics Engineer specializing in dbt, you act as a bridge between raw data pipelines maintained by data engineers and the business insights required by data analysts. You’ll work closely with data engineers to ensure data is modeled and transformed efficiently, maintaining data quality and consistency. At the same time, you partner with analysts to understand their needs, creating reusable dbt models and documentation to make data more accessible and actionable. Regular communication and cross-functional meetings are common to align on priorities, troubleshoot data issues, and continuously improve data workflows.

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

AspectSenior Analytics Engineer DbtData Engineer
Primary FocusData modeling, transformation, and analytics using dbtBuilding data pipelines, infrastructure, and data storage solutions
Skills & CertificationsSQL, dbt, data modeling, analytics toolsSQL, Python, ETL tools, cloud platforms
Work EnvironmentAnalytics teams, BI, data scienceData engineering teams, infrastructure, backend systems
Industry UsageFinance, marketing, e-commerce, techAll industries with large data needs

While both roles work with data, a Senior Analytics Engineer Dbt primarily focuses on transforming data for analysis and reporting using dbt, whereas a Data Engineer builds the pipelines and infrastructure to collect and store data. The roles often collaborate but serve different parts of the data ecosystem.

What is a Senior Analytics Engineer Dbt?

A Senior Analytics Engineer Dbt is a data professional who specializes in building and maintaining robust data transformation workflows using dbt (data build tool). They bridge the gap between data engineering and analytics by developing, testing, and documenting data models that make raw data usable for business insights. Senior Analytics Engineers often mentor junior team members, enforce best practices in data modeling, and ensure data quality and consistency across the organization. They work closely with data analysts, data scientists, and business stakeholders to deliver reliable analytics solutions.

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

To thrive as a Senior Analytics Engineer (dbt), you need advanced SQL skills, data modeling expertise, and experience with cloud data warehouses, usually supported by a degree in computer science or a related field. Proficiency with dbt (data build tool), version control systems like Git, and analytics platforms such as Snowflake or BigQuery is essential. Strong problem-solving abilities, effective communication, and project management skills help you translate complex business requirements into scalable data solutions. These competencies ensure robust, reliable data pipelines and actionable insights that drive business decision-making.
More about Senior Analytics Engineer Dbt jobs
What cities are hiring for Senior Analytics Engineer Dbt jobs? Cities with the most Senior Analytics Engineer Dbt job openings:
What are the most commonly searched types of Analytics Engineer Dbt jobs? The most popular types of Analytics Engineer Dbt jobs are:
What states have the most Senior Analytics Engineer Dbt jobs? States with the most job openings for Senior Analytics Engineer Dbt jobs include:
What job categories do people searching Senior Analytics Engineer Dbt jobs look for? The top searched job categories for Senior Analytics Engineer Dbt jobs are:
Senior Analytics Engineer Dbt jobs near you
Infographic showing various Senior Analytics Engineer Dbt job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Analytics Engineer

Seismic

Remote

Full-time

Posted 21 days ago

Job description

Overview
We're looking for a Senior Analytics Engineer to join Seismic's Corporate Data & Analytics team and own our finance data domain. In this role, you'll partner with our Finance team to model, maintain, and scale the data assets that power financial reporting, planning, and decision-making across the business. You'll serve as the technical bridge between Finance stakeholders and the data platform, translating business requirements into clean, reliable, well-documented data models that analysts and leaders can trust.
While Finance ownership is the core of this role, you'll also contribute across other business domains and work closely with data analysts, analytics engineers, and data engineers to build a cohesive, high-quality data layer. The Senior Analytics Engineer will report to the Manager, Analytics Engineering.
Who you are:
Required
  • 5+ years of analytics engineering or data analyst experience, with at least 3 years hands-on with dbt (Core or Cloud) - building and maintaining multi-layer model architectures in a production environment

  • Direct experience modeling financial data and working with Finance as a business stakeholder

  • Demonstrated experience partnering directly with business-facing teams on end-to-end analytics projects, from requirements gathering through delivery

  • Hands-on experience with a finance SaaS platform such as NetSuite (or similar), including modeling financial data and surfacing it from source systems to the reporting layer.

  • Working knowledge of Salesforce quote-to-cash data structures

  • Proficiency with a cloud data warehouse, experience with Snowflake, Bigquery, or other data warehouse system experience required.

  • Expert SQL skills - comfortable writing complex transformations, window functions, and CTEs

  • Experience with Git/GitHub - branching, pull requests, code review workflows

  • Familiarity with layered dimensional modeling concepts - understanding of how to separate raw data normalization from business logic from reporting-ready models

Nice to Have
  • Experience building data models for Bi tools such as Tableau, Looker, or Power BI

  • Familiarity with agile delivery in a cross-functional engineering environment

  • Experience with financial planning tools such as Workday Adaptive Planning

  • Experience with integration/automation tools such as Workato

  • Background as a data analyst or in a hybrid analyst/engineer role, we value candidates who understand what it means to be the consumer of the data they build

What you'll be doing:
  • Collaborate with Finance stakeholders to understand requirements, score work, and deliver data models that support financial reporting, revenue recognition, expense tracking, and planning

  • Partner with FP&A, Accounting, and Systems teams to build and maintain trusted dbt models for bookings, ARR, and quote-level revenue data (e.g., Salesforce CPQ price-per-seat, discounting, and booking calculations), ensuring metrics reconcile across Finance systems and downstream reporting

  • Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices

  • Work directly with data analysts to evaluate reporting requirements and translate business logic into reusable, well-tested data models.

  • Collaborate with analytics engineers and data engineers on data ingestion, pipeline reliability, and source system changes

  • Apply software engineering best practices to analytics code: version control (GitHub), testing, CI/CD, and documentation

  • Write and maintain clear dbt documentation (model descriptions, column-level doc blocks, and lineage) so the data layer is self-service friendly

  • Actively participate in project scoping, sprint planning, and cross-functional delivery using agile workflows

What we have for you:
At Seismic, we're committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page.
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