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Analytics Engineer Dbt Jobs in New York (NOW HIRING)

Analytics Engineer

Manhattan, NY · On-site

$100 - $125/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 ...

Design and build robust dbt models that serve as the authoritative foundation for analytics ... Partner with Engineering and Data Science to ensure our Snowflake data warehouse is well-structured ...

Design and build robust dbt models that serve as the authoritative foundation for analytics ... Partner with Engineering and Data Science to ensure our Snowflake data warehouse is well-structured ...

Analytics Engineer

New York, NY · Hybrid

$130K - $150K/yr

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... Build and maintain dbt models across staging, intermediate, and mart layers following Kimball ...

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 ...

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)

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)

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 ...

Analytics Engineer

Manhattan, NY · On-site

$125 - $150/hr

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... Build and maintain dbt models across staging, intermediate, and mart layers following Kimball ...

Analytics Engineer

New York, NY · On-site

$130K - $150K/yr

PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation • Build and maintain dbt models ... as analytics engineer or in a similar role, demonstrating expertise in data design, data ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance ... You'll work within Oscar's unified data foundation in dbt, partnering with domain experts and ...

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation Build and maintain dbt models across ...

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 ...

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 ...

Analytics Engineer

Manhattan, NY · On-site

$150 - $200/hr

... Analytics Engineer for our next phase of growth. We're placing big bets -- new products, new ... You'll build and own production dbt models -- spanning our core remittance business and new product ...

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 ...

Analytics Engineer I

New York, NY · On-site

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance ... You'll work within Oscar's unified data foundation in dbt, partnering with domain experts and ...

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Analytics Engineer Dbt information

What is an analytics engineer dbt?

An Analytics Engineer specializing in dbt (data build tool) is responsible for transforming raw data into clean, well-structured datasets that enable data-driven decision-making. They bridge the gap between data engineers and analysts by writing modular, reusable SQL code in dbt to build and maintain data models. Their role involves managing data transformations, ensuring data quality, and optimizing performance within a modern data stack.

What do analytics engineer dbt professionals do?

As an Analytics Engineer Dbt, you'll focus on designing and building robust data transformation pipelines using dbt, ensuring that raw data is modeled into well-structured, analysis-ready datasets for downstream users. Your daily responsibilities typically include collaborating with data analysts, data engineers, and business stakeholders to define data requirements, building documentation, performing code reviews, and maintaining high standards of data quality. You may also participate in optimizing query performance, automating data validation processes, and contributing to data governance initiatives. This role offers the opportunity to work at the intersection of analytics and engineering, providing both technical challenges and strategic business impact.

What are the key skills and qualifications needed to thrive as an analytics engineer dbt?

To thrive as an Analytics Engineer Dbt, you need expertise in SQL, data modeling, and modern data warehousing concepts, often supported by a degree in computer science, data analytics, or a related field. Proficiency with dbt (data build tool), version control systems like Git, and familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift is essential, with dbt certification considered a plus. Strong problem-solving abilities, communication skills, and a collaborative mindset help in effectively translating business needs into scalable data solutions. These skills are crucial for building reliable analytics workflows, ensuring data quality, and bridging the gap between data engineering and analytics teams.

What are the most commonly searched types of Analytics Engineer Dbt jobs in New York?

The most popular types of Analytics Engineer Dbt jobs in New York are:

What are popular job titles related to Analytics Engineer Dbt jobs in New York?

For Analytics Engineer Dbt jobs in New York, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Dbt jobs in New York look for?

The top searched job categories for Analytics Engineer Dbt jobs in New York are:

What cities in New York are hiring for Analytics Engineer Dbt jobs?

Cities in New York with the most Analytics Engineer Dbt job openings:

Infographic showing various Analytics Engineer Dbt job openings in New York as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Analytics Engineer

Counsel Health

Manhattan, NY • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 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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