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Analytics Engineer Remote Dbt Jobs in New York (NOW HIRING)

Analytics Engineer

New York, NY ยท Remote

$125K - $215K/yr

Strong proficiency in PostgreSQL, SQL, dbt, or similar data warehousing technologies. * Experience ... Advanced programming skills in Python or other languages for data transformation and analysis.

... dbt * Orchestrate workflows with Airflow and monitor data quality * Partner with analytics and ML ... data engineering with strong Python and SQL * Hands-on Spark, Snowflake, and dbt experience

Analytics Engineer

New York, NY ยท Remote

$55 - $65/hr

Remote The mission of the Analytics Engineering team at our client is to enable, facilitate, and develop their ability to make data-driven strategic decisions. We are looking for Analytics Engineers ...

Sales Engineer (Remote)

New York, NY ยท Remote

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Sales Engineer (Remote)

Brooklyn, NY ยท On-site +1

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Growth Engineer (Remote)

New York, NY ยท Remote

$120K - $130K/yr

We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it ... Enough data fluency to be credible: you can hold your own on pipelines, dbt, and warehouses.

Growth Engineer (Remote)

New York, NY ยท On-site +1

$120K - $130K/yr

We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it ... Enough data fluency to be credible: you can hold your own on pipelines, dbt, and warehouses.

Growth Engineer (Remote)

New York, NY ยท Remote

$120K - $130K/yr

We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it ... Enough data fluency to be credible: you can hold your own on pipelines, dbt, and warehouses.

Nextthink Engineer (Remote)

Newark, NJ ยท Remote

$100K - $120K/yr

NextThink Engineer Location: Newark, NJ (On-site) Experience: 6-8 Years Employment Type: Full-Time ... Create dashboards, campaigns, investigations, and analytics. * Develop and manage Remote Actions ...

Lead Sales Engineer (Remote)

Brooklyn, NY ยท On-site +1

$160K - $180K/yr

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka * Interest in growing ...

Lead Sales Engineer (Remote)

Brooklyn, NY ยท Remote

$160K - $180K/yr

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka * Interest in growing ...

Software Engineer

Manhattan, NY ยท Remote

$150K - $215K/yr

Remote -- United States. This role sits at the intersection of engineering and private capital markets. You'll help build a cloud-based analytics and data platform used by investment firms to ...

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Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

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

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

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

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

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

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

Infographic showing various Analytics Engineer Remote Dbt job openings in New York as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Lead Snowflake DBT Analytics Engineer

3B Staffing LLC

Manhattan, NY โ€ข Remote

$113K - $148K/yr

Contractor

Re-posted 13 days ago


Job description

Lead Snowflake DBT Analytics Engineer

USC/GC/EAD

Remote EST hours,

Our direct client in the Northeast is looking for a Snowflake Platform Engineer to join there team as a contractor (3 month initial term) or contract to hire. This NOT a Data Engineer.

Senior, lead level but hands-on.

We're seeking an experienced Analytics Engineer (10+ years) who can lead hands-on analytics engineering work and partner closely with the business.

Key Responsibilities

  • Design and build scalable analytics data models and curated datasets using Snowflake and dbt Cloud (must be technically deep in both)
  • Own complex SQL and dbt development (transformations, testing, documentation, performance optimization)
  • Partner with business stakeholders, PMs, and analytics engineers to translate requirements into strong data models
  • Establish best practices for analytics engineering, data modeling, testing, and reusable patterns
  • experience with synch tools such as Fivetran for Real-Time ingestion.
  • Deliver trusted, analytics-ready data for reporting, self-service BI, and AI use cases
  • Troubleshoot data issues and drive data quality, consistency, and trust
  • Provide technical leadership and guidance across analytics engineering work

Required Experience

  • Strong hands-on experience with analytics engineering, data modeling, advanced SQL, dbt, Snowflake, and GitHub
  • 10+ years of Data Engineering/Analytics experience.
  • 3+ years of Snowflake.
  • Deep understanding of dimensional modeling
  • Strong stakeholder communication, problem-solving, and documentation skills
  • Ability to balance speed with scalable, well-governed design