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Dbt Data Engineer Jobs in Patchogue, NY (NOW HIRING)

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Dbt Data Engineer information

See Patchogue, NY salary details

$47.7K

$139.2K

$190.4K

How much do dbt data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for dbt data engineer in Patchogue, NY is $139,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $147,500.00 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 are Dbt Data Engineers?

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 Patchogue, NY? For Dbt Data Engineer jobs in Patchogue, NY, the most frequently searched job titles are:
What cities near Patchogue, NY are hiring for Dbt Data Engineer jobs? Cities near Patchogue, NY with the most Dbt Data Engineer job openings:
Dbt Data Engineer jobs near you
Lead Data Engineer - Data Platform Engineering (Hybrid)

Lead Data Engineer - Data Platform Engineering (Hybrid)

Northwell

Melville, NY • On-site

$130.30K - $228K/yr

Other

Posted 19 days ago

Job description

We're looking for a hands-on Lead Data Engineer to architect and build the data pipelines and infrastructure that power our analytics, ML, and business intelligence capabilities. You'll design greenfield data solutions while modernizing our existing systems to create a scalable, reliable, and performant data platform.Leads the implementation of information systems to manage financial functions for Patient Financial Services/Accounts. Oversees projects and initiatives to meet user requirements. Serves as a liaison between department (user) and vendors. Ensures systems compliance to applicable laws, regulatory standards and policies. This is a unique opportunity to own critical data infrastructure from the ground up. You'll spend your time building robust ETL/ELT pipelines, optimizing data models, building reusableand extensible frameworks, and mentoring the team all while solving complex challenges around data ingestion, transformation, and orchestration at scale.

Job Responsibility

  • Coordinates implementation of information system initiatives to meet user requirements.
  • Communicates with user departments and project teams regarding implementation activities and system changes to ensure feasibility.
  • Develops system specifications that appropriately meet department requirements.
  • Develops systems to track data in comprehensive and innovative ways.
  • Collaborates with hospital departments and outside vendors to facilitate managed care contract implementation.
  • Coordinates and maintains communication between the hospital and vendor(s) regarding system applications.
  • Performs periodic post-installation reviews of system initiatives.
  • Conducts system-wide in-services with managers and staff, as necessary.
  • Ensures systems compliance to applicable laws, regulatory standards and policies.
  • Uses knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial.
  • Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions.

Job Qualification

  • Bachelor's Degree required, or equivalent combination of education and related experience.
  • 5-7 years of relevant experience including technical experience with Apache Hadoop, NoSQL, setting up cloud clusters, Apache Spark, and other advanced data science and big data technologies, required.

HIGHLY PREFERRED

  • Extensive Google Cloud Platform (GCP) experience
  • Previous experience as a Data Platform Engineer/ Data Engineer/ Analytics Engineer for a large organization
  • Experiencein/ with Python (FastAPI, Pandas, Polars, etc.)
  • Experience with infrastructure as code, specificallyTerraform
  • Extensive experience with Airflow, DBT, and/ or Dataform
  • Experience with OpenLineage, OpenMetadata and data contracts
  • Extensive experience with BigQuery, CloudSQL, Pub/ Sub, Dataflow, Cloud Storage, etc.
  • Experience with the Cloud Healthcare API/ FHIR/ HL7


*Additional Salary Detail
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).

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