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Dbt Developer Jobs in New York (NOW HIRING)

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 ...

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 ...

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

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)

CYNET SYSTEMS

Lead Python Data Engineer

Rahway, NJ · On-site

$50 - $55/hr

Skills: * Python. * AWS DevOps. * Databricks. * DBT. * Apache Airflow. * REST API design. * SQL. Qualification And Education: * Strong verbal and written communication skills. * Excellent ...

Courier Health

Data Engineer

New York, NY · On-site

$120K - $150K/yr

Build data models: develop dbt models and SQL transformations, backed by tests, that turn raw data ... Learn and grow: work closely with senior engineers, take part in code review, and steadily take on ...

Oscar Health

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 ...

US Mobile

Analytics Engineer

New York, NY

$140K - $190K/yr

We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that ... Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and ...

Capital Rx

Data Engineer II

Manhattan, NY · On-site

$108K - $136K/yr

Build, test, and document Snowflake data models and business logic in dbt * Apply and improve data ... data engineering, software engineering, or related field * Strong SQL and Python; solid ...

Metropolis

Senior Analytics Engineer

New York, NY · On-site

$130K - $175K/yr

Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ... Partner with engineering, data science, and business stakeholders to own project scopes * Mentor ...

Taptap Send

Staff Analytics Engineer

New York, NY · On-site

You'll set the technical bar for Analytics Engineering at TTS. That means owning our thorniest ... If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling ...

Current

Senior Business Intelligence Engineer

Manhattan, NY · On-site

$56.25 - $73/hr

... dbt models, ETL pipelines, and BI consumption. Qualifications : Required : • 5+ years of experience in Business Intelligence, Analytics Engineering, or data modeling, with hands-on experience ...

Current

Senior Business Intelligence Engineer

Manhattan, NY · On-site

$56.25 - $73/hr

... dbt models, ETL pipelines, and BI consumption. Qualifications : Required : • 5+ years of experience in Business Intelligence, Analytics Engineering, or data modeling, with hands-on experience ...

Current

Senior Business Intelligence Engineer

Manhattan, NY · On-site

$56.25 - $73/hr

... dbt models, ETL pipelines, and BI consumption. Qualifications : Required : • 5+ years of experience in Business Intelligence, Analytics Engineering, or data modeling, with hands-on experience ...

Imprint

Staff Data Engineer

New York, NY · On-site

$200K - $235K/yr

Architect and scale Imprint's core data platform, including Snowflake, dbt Cloud, and real-time CDC ... Elevate engineering practices across Analytics, Data, and Engineering teams through architecture ...

Alloy

Senior Analytics Engineer

New York, NY · On-site

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 ...

Scan.com

Data Engineer II

New York, NY · On-site

$130K - $150K/yr

We don't have analysts who hand off to engineers to build the model, or engineers who hand off to ... Build and maintain dbt models that transform raw source data into reliable, well-documented, tested ...

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Showing results 21-40

All JobsDbt Developer JobsDbt Developer Jobs in New York

Dbt Developer information

See New York salary details

$18

$57

$89

How much do dbt developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for dbt developer in New York is $57.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $70.72 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Dbt Developer jobs in New York? For Dbt Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Dbt Developer jobs in New York look for? The top searched job categories for Dbt Developer jobs in New York are:
What cities in New York are hiring for Dbt Developer jobs? Cities in New York with the most Dbt Developer job openings:
Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $120,240 per year, or $57.8 per hour.

Senior Analytics Engineer

Stash

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, PTO

Posted 5 days ago

Job description

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we're passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom. We also believe in working smarter-leveraging AI and emerging technologies to move faster, operate more efficiently, and focus our time on solving meaningful problems for our customers.
We're looking for a Senior Analytics Engineer (Technical Level 4) to own and evolve the analytics foundation that powers Stash-our dbt-powered data mart, Looker semantic layer, and the quality systems that keep daily numbers trustworthy for Product, Growth, Finance, and Data Science.
You'll sit at the intersection of data engineering and data science: production-grade SQL modeling, testing and freshness, clear metric definitions, and close partnership with stakeholders who depend on self-serve data. Company bets (quality growth, Financial Advice, tier packaging, OKR visibility) all run through the mart-if models break, definitions drift, or sources go stale, the business loses trust. Your job is to make that trust durable.
This position operates on a hybrid schedule, requiring you to be on-site in our New York office at leastthree days per week to work with stakeholders andfoster team collaboration.
What you'll do:
  • Own core mart domains end-to-end: Design, build, and maintain production dbt models (bronze → silver → gold patterns in our data mart) for high-priority domains such as subscriptions, promotions/attribution, acquisition, and product usage.
  • Raise reliability and quality: Drive down recurring dbt test failures; add meaningful tests; document exceptions; partner on freshness SLAs and alerting so stale or wrong data is caught before Looker, OKRs, or DS models.
  • Keep Eng and the mart aligned: Partner with Backend / Product Engineering on instrumentation and schema changes (e.g., service migrations). Reconcile parity, get stakeholder sign-off, and cut over without silent metric breaks.
  • Enable Data Science and self-serve: Turn DS modeling requests into governed mart objects (grains, definitions, consumers). Build Looker explores/views and documentation so analysts and PMs can answer questions without waiting on a ticket for every pull.
  • Improve ops and performance: Contribute to mart job reliability (retries for transient failures, clear ownership of non-retryable logic failures). Profile and refactor high-cost models when reliability work is on track.
  • Partner across Data: Work with Data Engineering on upstream contracts and ingestion quality; with Data Science on measurement-ready datasets; with stakeholders on metric definitions that stick.
  • Raise the bar for the team: Mentor peers, review PRs for modeling and test quality, and use AI coding assistants productively while owning correctness-especially around financial and customer data.

What we're looking for:
  • Experience: 5+ years in analytics engineering, data engineering (analytics-focused), or closely adjacent roles building production analytical data models. Evidence of Senior / L4-equivalent ownership of critical reporting domains.
  • dbt & SQL craft: Advanced SQL and production-grade dimensional / mart modeling. Deep dbt experience (models, tests, sources, docs, incremental strategies, performance tradeoffs)-not "I've written a few models."
  • Warehouse experience: Hands-on with a modern cloud warehouse (Redshift, dbt, DataFold). Comfort debugging joins, grains, late-arriving data, and cost/runtime.
  • BI / semantic layer: Experience exposing trusted metrics in Looker and caring about naming, descriptions, and explore usability.
  • Quality mindset: You've owned data quality incidents-root cause, stakeholder communication, and durable fixes (tests, contracts, runbooks)-not just hotfixes.
  • Collaboration: Strong partnership with engineers, data scientists, and business stakeholders; able to negotiate definitions and push back when a request would create an unmaintainable model.
  • Programming: Solid Python for analysis, tooling, and light automation; Git/PR workflows are second nature.
  • Education: Bachelor's in a quantitative or technical field, or equivalent experience.
  • AI fluency: Proven hands-on use of AI tools (e.g. Cursor, ChatGPT) in daily workflows, with strong judgment-validating outputs, adhering to Stash guidelines for sensitive data, and owning the quality of AI-assisted work.

Gold Stars:
  • Experience in fintech, subscriptions, or regulated environments (PCI / SOC 2 awareness).
  • Mixpanel / Segment (or similar) event modeling experience.
  • Prior work enabling ML / DS feature tables or experiment assignment grains in the warehouse.
  • Mentorship or informal tech-lead experience on an AE / DE squad.
  • Familiarity with CI/CD on Github actions.

#LI-Hybrid
Our Commitment to Diversity, Equity, and Inclusion
We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it's the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash core value, and to ensure Stashers of all backgrounds and experiences can be their authentic selves.
We are also proud to be the first and only venture-backed fintech to join the CEO Action for Diversity & Inclusion™, and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.
Helping You Invest in Yourself
  • Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
  • Complimentary subscription to Stash+ account
  • Flexible work policy - We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
  • Flexible PTO
  • Annual learning and development reimbursement benefit
  • Work-from-home equipment stipends; home internet subsidy
  • Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
  • Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health

External Recognition for Stash
  • Benzinga's 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
  • Qorus-Accenture's 2023 Banking Innovation Awards
  • USA Today and Statista's 2023 Top 500 Best Financial Advisory Firms
  • Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
  • Fintech Breakthrough Award: Best Personal Finance App (2023)
  • BuiltIn's Best Places to Work (2022, 2021, 2020, 2019)
  • Forbes Fintech 50 (2021, 2020, 2019)
  • Best Digital Bank, Finovate Awards (2020)
  • Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
  • LendIt Fintech Innovator of the Year (2020, 2019)

Salary Range: $150,000 - $180,000
The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate's qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.
**No recruiters, please**

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