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

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Experience with dbt (Data Build Tool) for data transformation, modeling, ELT pipeline development ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Transform and model complex, large-scale datasets within Snowflake and Databricks using dbt to ...

SANS

Data Engineer with Cloud experience

Manhattan, NY · On-site

$126K - $151K/yr

Job Title - Data Engineer Location - New York, NY (Hybrid) Duration - 12+ Months About the Role: We ... Experience with dbt (data build tool) for transformation and data modeling. * Knowledge of ...

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

Experience with dbt (Data Build Tool) for: · Data transformation and modeling · ELT pipeline ... Experience working in Agile and DevOps environments, including CI/CD for data pipelines. Preferred ...

Hack The Box LTD

Senior Data Engineer

Manhattan, NY · On-site

$140 - $160/hr

Modelling & quality: dbt, data quality gates * Containers & CI/CD: Docker, Kubernetes, GitHub ... Partner with ML engineers on feature stores, drift monitoring, and retraining workflows * Capture ...

New

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 ...

New York Life

Associate - Data Engineer

Manhattan, NY · On-site

$60K - $85K/yr

Build and maintain dbt data pipelines to deliver clean, reliable, and well-structured data for data science and analytics use cases. Implement real-time data ingestion and processing using PySpark ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Paramus, NJ

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 Sep 4, 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 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.

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 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.

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

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

Dbt Data Engineer jobs near you

Snowflake DBT Data Engineer C2C jobs in New York Onsite

Tech Mirrors

Manhattan, NY • On-site

$100 - $130/hr

Other

Posted 3 days ago

New

Job description

Snowflake DBT Data Engineer

Location New York Onsite

Must Have Skills

Strong handson expertise with dbt Core model development Jinjamacros sources tests documentation and packaging reusability

Advanced SQL complex transformations performance tuning query optimization

Solid dimensionaldata warehouse modeling knowledge starsnowflake factsdimensions SCD concepts as applicable

Experience delivering ELT on Databricks Databricks SQL Delta Lake concepts efficient joinsfile layouts understanding of medallion patterns bronze silver gold where used

Git proficiency with PRbased workflows branching code reviews merge strategies cherry picking

CI practices for dbt eg run dbt compilebuildtest in pipelines enforce quality gates

Ability to build scalable maintainable models modular layers naming conventions documented contracts

Secondary NicetoHave Skills

Exposure to Orchestration tools ADFAirflowDagsterPrefect etc

Familiarity with downstream consumption patterns

Comfortable using AIassisted dev tools eg Copilot in accordance with company policy

Soft Skills

Strong problemsolving and analytical thinking

Excellent communication skills to collaborate with crossfunctional teams data engineers analysts product managers

Ability to mentor junior engineers and promote best practices

Detailoriented with a focus on data quality and reliability

Adaptability in fastpaced evolving environments

Ownership mindset with proactive approach to challenges

Qualifying Questions

1 Willing to work from customer location

2 Can you describe a complex DBT project youve led including challenges and outcomes

3 How do you ensure data quality and reliability in DBT transformations

4 What strategies do you use to optimize SQL queries and DBT models for performance

5 Have you implemented CICD pipelines for DBT projects If yes how

6 How do you collaborate with analysts and stakeholders to translate business requirements into data models

7 Whats your experience with cloud data warehouses Snowflake BigQuery Redshift etc

8 How do you handle documentation and testing in DBT projects”

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