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Dbt Data Engineer Jobs in Paramus, NJ (NOW HIRING)

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Duties and Responsibilities Data Infrastructure & Pipeline Engineering • Design, build, and ... dbt, including modular, testable, and well-documented models • Build canonical datasets and ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Duties and Responsibilities Data Infrastructure & Pipeline Engineering • Design, build, and ... dbt, including modular, testable, and well-documented models • Build canonical datasets and ...

Data Engineer

Manhattan, NY · On-site

$75 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Genesis10 is seeking a Data Engineer for a 6 month + contract position with an investment ... DBT for data transformation * Experience building and deploying containerized applications (Docker ...

Sr. Analytics Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

Senior Analytics Data Platform Engineer DoubleVerify • New York (Hybrid) About DoubleVerify ... Develop the translation engine that converts user contracts into automated dbt models, Airflow DAGs ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer will lead the design and implementation of scalable data workflows and ... Airflow, dbt, Spark, or equivalent). • Design data models and storage systems optimized for ...

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Hi Role- Snowflake Data Engineer Location: NYC, NY Fulltime Morgan Stanely Role Overview Build and ... Develop transformation logic in SQL and dbt with version control, CI/CD, and automated testing.

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt). * Proficiency in at least one programming language (e.g., Python, Java, Scala). * Familiarity with cloud ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt). * Proficiency in at least one programming language (e.g., Python, Java, Scala). * Familiarity with cloud ...

Data Engineer-US

New York, NY · On-site +1

$125K - $150K/yr

Hands-on experience with dbt Labs and Astronomer * Proficiency with GitHub and modern software ... Strong understanding of data engineering principles, data modeling, ETL/ELT processes, and data ...

New

Data Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

Snowflake, dbt, orchestration, vendor APIs, web hooks, and the downstream systems (Salesforce ... data/ML infrastructure. This is a platform-engineering role, not a dashboards-and-reporting role.

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 ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a Data Engineer to own data and analytics end-to-end, architecting internal ... stack -- dbt, Snowflake, Mode, etc. -- with an eye toward speed and clarity • Work cross ...

Snowflake DBT Engineer

New York, NY · On-site

$125K - $150K/yr

Snowflake DBT Engineer Job Location: New York Job Type: Contract ... Data Pipeline Development Design develop and maintain scalable data pipelines using Snowflake dbt ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

... Data Engineer to help transform and modernize its enterprise data platform. This is a unique ... Design, build, and maintain scalable ELT pipelines using Python, SQL Server, Snowflake, and dbt.

Data Engineer

Manhattan, NY

$126K - $151K/yr

... dbt, including modular, testable, and well-documented models● Build canonical datasets and ... of legacy data structuresData Quality, Governance & Reliability● Establish data quality ...

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... Design and implement dbt models and transformation logic that produce clean, reliable "source of ...

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... Design and implement dbt models and transformation logic that produce clean, reliable "source of ...

Showing results 21-40

Dbt Data Engineer information

See Paramus, NJ salary details

$45K

$131.3K

$179.6K

How much do dbt data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for dbt data engineer in Paramus, NJ is $131,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $139,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What are popular job titles related to Dbt Data Engineer jobs in Paramus, NJ?

For Dbt Data Engineer jobs in Paramus, NJ, the most frequently searched job titles are:

What cities near Paramus, NJ are hiring for Dbt Data Engineer jobs?

Cities near Paramus, NJ with the most Dbt Data Engineer job openings:

$126K - $151K/yr

Full-time

Re-posted 28 days ago


Job description

Duties and Responsibilities
Data Infrastructure & Pipeline Engineering
• Design, build, and operate scalable data pipelines across Salesforce, Snowflake, and external systems (ticketing, lottery, partners)
• Leverage Fivetran and API-based ingestion frameworks to standardize and automate data ingestion from third-party platforms
• Own API, webhook and file-based ingestion systems (SFTP, third-party feeds), ensuring reliability and observability
• Manage AWS infrastructure supporting data ingestion, processing, and orchestration
Data Warehouse & Modeling
• Own Snowflake data architecture, including schema design, transformations, and data modeling
• Develop and maintain transformation layers using dbt, including modular, testable, and well-documented models
• Build canonical datasets and dimensional models supporting analytics, CRM, ticketing, and pricing
• Optimize warehouse performance, cost, and scalability through clustering, partitioning, and query optimization
• Manage schema evolution and deprecation of legacy data structures
Data Quality, Governance & Reliability
• Establish data quality frameworks using dbt tests, monitoring tools, and pipeline validation checks to detect and resolve inconsistencies, duplication, and missing data
• Implement automated validation, monitoring, and alerting across pipelines
• Own data hygiene standards across customer, order, and transaction datasets
Automation & Systems Optimization
• Develop Python-based workflows to automate ingestion, transformation, and operational processes
• Reduce manual workflows through system design, tooling, and pipeline reliability improvements
• Leverage HighTouch to operationalize data by syncing curated datasets back into Salesforce and other business systems
• Partner with third-party developers to maintain ticket lottery systems
• Continuously improve pipeline performance, latency, and failure recovery
Reporting & Data Enablement
• Build and maintain data pipelines supporting core reporting (sales, marketing performance, partner reporting)
• Enable downstream analytics and BI through clean, accessible, and well-modeled datasets
Dynamic Pricing Data Infrastructure & Modeling Support
• Own the data infrastructure supporting dynamic pricing models
• Design and maintain model-ready datasets across pricing, inventory, and demand signals using Snowflake and dbt
• Partner with internal teams and external consultants to operationalize pricing models within Snowflake
• Enable rapid iteration, backtesting, and deployment of pricing strategies
QUALIFICATIONS
Expertise
• Strong proficiency in SQL and advanced data modeling (dimensional + canonical)
• Experience building and operating data pipelines using Python and modern data stack tools (Fivetran, dbt, HighTouch or similar)
• Deep experience with Snowflake or similar cloud data warehouses
• Experience working with CRM systems (Salesforce preferred)
• Experience managing data infrastructure in AWS or similar cloud environments
• Strong understanding of ETL/ELT design patterns, APIs, and distributed data systems
What Success Looks Like
• Reliable, scalable data pipelines with minimal manual intervention
• Improved data quality and reduced duplication/errors
• Faster reporting and improved data accessibility across teams
• Successful deployment and iteration of pricing models supported by robust data systems
Growth & Development Opportunities
• Opportunity to lead data architecture strategy, build scalable infrastructure, and directly impact revenue through pricing optimization systems.
Equal Opportunity Employer
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