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

US Mobile

Analytics Engineer

New York, NY · On-site +1

$120K - $160K/yr

Work closely with engineering teams to design and develop data structures that enable deeper ... dbt). * Proficiency in Python or a similar scripting language for data processing and analysis.

US Mobile

Analytics Engineer

New York, NY · On-site +1

$120K - $160K/yr

Work closely with engineering teams to design and develop data structures that enable deeper ... dbt). * Proficiency in Python or a similar scripting language for data processing and analysis.

PermitFlow

Analytics Engineer

New York, NY · 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.

Eliassen Group

Analytics Engineer

New York, NY · 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 ...

Soda Data

Sales Engineer (Remote)

Brooklyn, NY · 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 ...

Soda Data

Sales Engineer (Remote)

New York, NY · 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 ...

Soda Data

Growth Engineer (Remote)

New York, NY · 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.

Soda Data

Growth Engineer (Remote)

New York, NY · 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.

Soda Data

Growth Engineer (Remote)

New York, NY · 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.

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · 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 ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · 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 ...

Northern Base

Nextthink Engineer (Remote)

Newark, NJ · 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 ...

YO AI Labs

CUDA Software Engineer - Remote

New York, NY · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Remote (EST hours preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $140-150K ... Work with data analysts and analytics engineers to standardize transformation logic in the dbt ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Perform data engineering and analytics tasks, including data ingestion, SQL orchestration, and data ...

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

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

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:

Analytics Engineer Remote Dbt jobs near you
Infographic showing various Analytics Engineer Remote Dbt job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Analytics Engineer

US Mobile

New York, NY • On-site, Remote

$120K - $160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — Consumer Reports named us the top-rated mobile carrier two years in a row.*

And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.

We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.

Job Description
  • Work closely with engineering teams to design and develop data structures that enable deeper analysis.
  • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices.
  • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets.
  • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity.
  • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.
Qualifications
  • 4+ years of professional experience in analytics engineering, data engineering, or data science.
  • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes.
  • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt).
  • Proficiency in Python or a similar scripting language for data processing and analysis.
  • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices.
  • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker.
  • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.
Benefits
  • Competitive salary
  • Flexible working hours
  • Supplemental health insurance
  • Professional development stipend
  • $500 wfh tech set-up reimbursement
Think you could be a good fit? Apply to learn more!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.