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Dbt Developer Jobs in Rutherford, NJ (NOW HIRING)

Counsel Health

Analytics Engineer

Manhattan, NY · On-site

$90 - $110/hr

We're looking for an Analytics Engineer who will own the semantic layer of our data, building and ... Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing to catch ...

Brigit

Senior Analytics Engineer

Manhattan, NY · On-site

$170 - $190/hr

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 ...

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 ...

247Hire

Senior Analytics Engineer

Manhattan, NY · On-site

$120 - $150/hr

Build reliable data pipelines using tools like dbt, Airflow, ensuring high quality and ... Senior Analytics Engineer Qualifications * Over 5 years of experience in analytics engineering ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Build or implement tooling around data quality, governance and lineage, in the dbt framework and ... Experience working with DevOps to deploy, scale and monitor data infrastructure * Scheduler ...

Stash

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

Drive down recurring dbt test failures; add meaningful tests; document exceptions; partner on ... Partner with Backend / Product Engineering on instrumentation and schema changes (e.g., service ...

Stash

Senior Analytics Engineer

New York, NY · Hybrid

$114K - $157K/yr

Drive down recurring dbt test failures; add meaningful tests; document exceptions; partner on ... Partner with Backend / Product Engineering on instrumentation and schema changes (e.g., service ...

Indicium AI

Data Engineer Consultant

New York, NY

$120K - $175K/yr

In this role, you will work directly with modern technologies like Databricks, dbt, Python, and Terraform , collaborating with technical clients and our global engineering squads to ship solutions in ...

New

Indicium AI

Data Engineer Consultant

New York, NY · On-site

$120K - $175K/yr

In this role, you will work directly with modern technologies like Databricks, dbt, Python, and Terraform , collaborating with technical clients and our global engineering squads to ship solutions in ...

Stash

Senior Analytics Engineer New York

Manhattan, NY · On-site

$150 - $180/hr

Drive down recurring dbt test failures; add meaningful tests; document exceptions; partner on ... Partner with Backend / Product Engineering on instrumentation and schema changes (e.g., service ...

Runlayer

Developer Relations Lead

New York, NY · On-site

$64.50 - $84.50/hr

Already trusted by Gusto, Instacart, Opendoor, dbt Labs, and Decagon. About the Role As our Developer Relations Lead, you'll own Runlayer's physical presence in the developer and enterprise AI ...

Spot & Tango

Analytics Engineer

New York, NY · On-site

As an Analytics Engineer, you will play a crucial role in driving data-driven decision making ... Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud)

Spot & Tango

Analytics Engineer

New York, NY · On-site

As an Analytics Engineer, you will play a crucial role in driving data-driven decision making ... Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud)

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Showing results 21-40

All JobsDbt Developer JobsDbt Developer Jobs in Rutherford, NJ

Dbt Developer information

See Rutherford, NJ salary details

$17

$53

$83

How much do dbt developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for dbt developer in Rutherford, NJ is $53.87, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $65.91 per hour, depending on experience, location, and employer.

What is a dbt developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a dbt developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.

What are the key skills and qualifications needed to thrive as a dbt developer, and why are they important?

To thrive as a DBT Developer, you need strong SQL expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

What cities near Rutherford, NJ are hiring for Dbt Developer jobs?

Cities near Rutherford, NJ with the most Dbt Developer job openings:

Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in Rutherford, NJ as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $112,041 per year, or $53.9 per hour.

Analytics Engineer

Counsel Health

Manhattan, NY • On-site

$90 - $110/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

At Counsel Health, we've built a strong data foundation — a cloud warehouse, ETL pipelines, and event tracking are all in place. Now we need someone to make that data mean something.

We're looking for an Analytics Engineer who will own the semantic layer of our data, building and maintaining the core analytics data models that the rest of the company will use to turn raw data into insights. You will be the person the company trusts to answer "how do we measure this?".

What You’ll Do
  • Own the Semantic Layer: Build and maintain data models that define our core business metrics — from clinical outcomes to revenue to utilization. You will own the sources of truth for Counsel’s core metrics and ensure they can be reliably used throughout the company.
  • Orchestrate & Monitor: Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing to catch issues before they reach dashboards.
  • Build Reverse ETL Pipelines: Stand up the data flows that feed clean, modeled data back into production systems — population cohort definitions, marketing intelligence, and operational features that depend on well‑modeled warehouse data.
  • Own Data Compliance: Implement and maintain access controls for PHI data, ensuring the data layer meets HIPAA requirements while remaining accessible.
What You’ll Bring
  • 3+ years of experience in analytics engineering, data analytics, or a hybrid data role.
  • Deep expertise in SQL and dbt.
  • Experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift).
  • Experience working in a regulated industry (healthcare, fintech, insurance, government) with proven ability to manage sensitive data and access controls. HIPAA familiarity is a plus.
  • Experience with data orchestration tooling (Paradigm, dbt Cloud, Airflow, or similar), and integrating analytics data back into production systems.
Who You Are
  • A Context Engineer: You think in business entities and stakeholder questions, not just tables and joins. You translate fuzzy requirements into clean, well‑modeled data.
  • dbt + SQL Native: dbt is your primary tool. You write clean, modular, well‑tested transformations and you have strong opinions about how a dbt project should be organized.
  • Infrastructure‑Comfortable: You're not a data engineer, but you can manage orchestration, environments, and reverse ETL pipelines without hand‑holding.
  • Product‑Minded: You don't just model data — you ask why someone needs it and how it drives a patient or business outcome.
  • Thrives in Ambiguity: We're a fast‑moving company with evolving data needs. You feel energized by creating structure in ambiguous environments, and you are comfortable synthesizing needs from multiple stakeholders into a clear data strategy.
What We Offer
  • Impact: Be at the forefront of AI‑augmented care delivery, tackling some of the most ambitious challenges in healthcare.
  • Growth: Professional development and leadership opportunities within a rapidly expanding tech‑enabled care delivery organization.
  • Exposure: Gain hands‑on experience in scaling a fast‑growing healthcare technology company and directly interface with executives at the world’s leading healthcare organizations.
  • Compensation: Competitive salary and equity options.
  • Benefits: Competitive healthcare, vision, and dental, 401k, unlimited PTO, snacks and free lunch at the office.
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