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Senior Analytics Engineer Dbt Jobs (NOW HIRING)

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data ... Build and maintain dbt models using a layered architecture, applying software engineering best ...

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

$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 ...

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 ...

Senior Analytics Engineer

Omaha, NE · On-site

$100K - $137K/yr

In the role of Senior Analytics Engineer, we'll count on you to: • Lead design of complex ... Preferred Qualifications • In depth experience with dbt Cloud or dbt Core with Git integration ...

Senior Analytics Engineer

New York, NY · 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 ...

Senior Analytics Engineer

Nashville, TN · 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 ...

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 ...

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data ... Build and maintain dbt models using a layered architecture, applying software engineering best ...

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 ...

Senior Analytics Engineer

Seattle, WA · 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 ...

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 ...

$96K - $132K/yr

About the Role The Senior Analytics Engineer will play a critical leadership role in shaping and ... Champion best-in-class tooling and practices, including dbt, Airflow, version control, testing ...

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will ... Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ...

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will ... Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ...

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will ... Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ...

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows ... Strong hands-on experience with SQL, DBT, Python, and Tableau * Experience working with cloud data ...

Our dbt models power everything downstream - internal reporting, partner dashboards, and a growing ... senior leaders from day one to shape what AI-powered analytics looks like across the company 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 Jun 16, 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

Senior Analytics Engineer

Connie Health

Boston, MA • On-site

Full-time

Medical, PTO

Posted 12 days ago


Job description

About Connie Health
Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance. Our core values are Results-Oriented, Proactive, and Relationships First.
Role Overview
Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower the entire company to answer their own questions, applying software engineering practices like version control, continuous integration, testing, and code review to our analytics codebase. Your work spans board-level book-of-business reporting, day-to-day stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage role: the quality of our analytics, forecasts, and operating decisions all depend on the foundation you build. You will work closely with our data team and system owners across Engineering, Finance, and Operations to make sure data is trustworthy from source through dashboard.
This is a hybrid role, based out of our new Boston office near South Station.
What You'll Do
  • Own the policy dataset and its derived reporting (policy count, retention, effectuation, commission status, cohort analyses). Build the single source of truth that answers the full set of policy-related business questions, with clear naming conventions and documentation that lets stakeholders use it quickly.
  • Partner with Engineering, Finance, and Operations to improve data quality at the source rather than cleaning it downstream. Catch issues before stakeholders find them in a broken chart.
  • Build and maintain dbt models using a layered architecture, applying software engineering best practices including version control, continuous integration, automated testing, code review, and documentation. Treat the analytics codebase with the same rigor as production application code.
  • Configure self-serve Looker models and curate the AI-ready dataset definitions stakeholders consume through Claude, so business users can answer their own questions with reliable, consistent results instead of waiting on a data team ticket.
  • Engage early in new system implementations to ensure data is captured cleanly from day one and that reporting is ready when the system goes live, rather than retrofitted afterward.
  • Manage multiple stakeholders and workstreams simultaneously, operating with the independence and judgment expected of a senior IC.

Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
  • 5+ years of professional experience in analytics engineering, data engineering, or a closely related discipline.
  • Deep, hands-on experience with dbt and strong data modeling practices, including applying software engineering principles to analytics code.
  • Strong SQL skills and experience with cloud data warehouses (Redshift, Snowflake, BigQuery, or similar).
  • A track record of normalizing and fixing messy datasets, both within the data layer and by working directly with the owners of the source data (Finance, Engineering, Operations, Marketing, etc.).
  • A product mindset with the ability to tie technical work to user outcomes and business impact.
  • Experience enabling self-service analytics for stakeholders through a BI tool, ideally Looker.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience modeling customer retention and lifecycle metrics across different use cases while ensuring all views tell a consistent story, ideally for a subscription business.
  • Experience with LookML and Looker administration.
  • Familiarity with Fivetran, Airflow, or similar data ingestion tooling.
  • Experience preparing datasets for consumption by AI tools (semantic layers, dataset documentation, definitional consistency).
  • Prior experience in the healthcare or insurance industry, particularly with Medicare.

Why Join Connie Health?
  • Great Culture.
  • Comprehensive health insurance plans.
  • Competitive salary and equity packages.
  • Unlimited vacation policy and generous holiday observances.
  • Monthly work from home stipend.
  • The opportunity to be part of a values-driven and hardworking group of people.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.