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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 ...

Posted today

ID.me

Senior Analytics Engineer

Mountain View, CA

$225K/yr

Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP services. Educate the ... Senior Analytics Engineer or any occupation related to database architecture. Must have five (5) ...

SolarWinds

Senior Analytics Engineer

Austin, TX

ROLE OVERVIEW As a Senior Analytics Engineer, you will own end-to-end analytics delivery - from ... You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery ...

SolarWinds

Senior Analytics Engineer

Austin, TX · On-site

ROLE OVERVIEW As a Senior Analytics Engineer, you will own end-to-end analytics delivery - from ... You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery ...

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 ...

New

Bandwidth

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the ... Significant dbt experience including project architecture, macros, test strategy, templates, and ...

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 ...

New

PSECU

Senior Analytics Engineer

$107K - $146K/yr

They are seeking a Senior Analytics Engineer to build the data transformation architecture that ... DBT as the core transformation layer in our modern data stack and the broader modern data stack ...

Bandwidth

Sr. Analytics Engineer

Raleigh, NC

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the ... Significant dbt experience including project architecture, macros, test strategy, templates, and ...

Bandwidth

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the ... Significant dbt experience including project architecture, macros, test strategy, templates, and ...

Okta

Senior Analytics Engineer

Bellevue, WA · On-site

The Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to ... Design, build, and maintain scalable data models using dbt and Snowflake * Define and standardize ...

PSECU

Senior Analytics Engineer

Harrisburg, PA · On-site

$103K - $141K/yr

The role of the Sr Analytics Engineer is to build the data transformation architecture that enables ... You'll lead the design of a unified, cloud-based data environment centered on dbt and modern ...

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.

PSECU

Senior Analytics Engineer

Harrisburg, PA · On-site +1

$103K - $141K/yr

The role of the Sr Analytics Engineer is to build the data transformation architecture that enables ... You'll lead the design of a unified, cloud-based data environment centered on dbt and modern ...

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 ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

... Senior Analytics Engineer to drive modernization initiatives. In this role, you will lead efforts ... Responsibilities : • Lead and contribute hands-on to the team's dbt and Snowflake modernization ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA

$122K - $168K/yr

We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our ... As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll ... Pilot's data stack is Snowflake, dbt, and Looker, with Fivetran and Airflow for ingestion and ...

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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 10, 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.
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Senior Analytics Engineer Dbt jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

Seismic

Remote

Full-time

Posted 9 hours ago

Posted today

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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