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Dbt Developer Jobs in Pennsylvania (NOW HIRING)

IntegriChain

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Optimize Snowflake SQL and dbt workloads for performance, scalability, cost, and maintainability. * Work with orchestration and DevOps/SRE teams to support CI/CD, environment promotion, pipeline ...

IntegriChain

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Optimize Snowflake SQL and dbt workloads for performance, scalability, cost, and maintainability. * Work with orchestration and DevOps/SRE teams to support CI/CD, environment promotion, pipeline ...

Kanak Elite Services Inc

ETL Snowflake Developer

Reading, PA · On-site

$49 - $64/hr

We're looking for a Data Engineer with hands-on experience in Snowflake and dbt to design, build, and optimize scalable data pipelines. You will work on transforming raw data into actionable insights ...

Globo Language Solutions

AI/ML Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

The AI/ML Engineer works across GLOBO's modern data stack (Fivetran, dbt, Snowflake) and AI infrastructure (AWS Bedrock, LLMs, agentic frameworks) to deliver reliable, well-tested solutions. This ...

Fivetran

Resident Solutions Architect

Philadelphia, PA · On-site

$63.50 - $83.75/hr

RSAs are billable to dbt Platform Enterprise customers and help achieve our mission to empower data developers to create and disseminate organizational knowledge. To be eligible for this role, you ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

Develop scalable, well-modeled data transformation pipelines (dbt) that unlock analytical and AI-driven capabilities. * Establish and enforce data engineering best practices -- including CI/CD for ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

Develop scalable, well-modeled data transformation pipelines (dbt) that unlock analytical and AI-driven capabilities. * Establish and enforce data engineering best practices - including CI/CD for ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

Develop scalable, well-modeled data transformation pipelines (dbt) that unlock analytical and AI-driven capabilities. * Establish and enforce data engineering best practices - including CI/CD for ...

MS INFO TECH LLC

Java AWS Lead

Pennsburg, PA · On-site

Familiarity with DevOps practices (Git, Docker, infrastructure as code, observability, continuous ... Proficiency with DataBricks, DBT, and AirFlow * Good interpersonal and communication skills (verbal ...

Triwill Group

$120 - $240/hr

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

Fivetran, Inc.

Senior Community Manager

Indiana, PA · On-site

$130 - $163/hr

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

Socket.dev

Senior Community Manager

Indiana, PA · On-site

$130 - $163/hr

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

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All JobsDbt Developer JobsDbt Developer Jobs in Pennsylvania

Dbt Developer information

See Pennsylvania salary details

$17

$52

$81

How much do dbt developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for dbt developer in Pennsylvania is $52.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $64.81 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Dbt Developer jobs in Pennsylvania?

For Dbt Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Dbt Developer jobs in Pennsylvania look for?

The top searched job categories for Dbt Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Dbt Developer jobs?

Cities in Pennsylvania with the most Dbt Developer job openings:

Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $110,169 per year, or $53 per hour.

Principal Scientist, Data Science - R&D

Jobtailor

Spring House, PA • On-site

$90 - $130/hr

Other

Posted 10 days ago

Job description

  • Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing Therapeutics Development & Supply data
  • Create and optimize structured and unstructured data flows using Python, R, SQL, DBT, cloud services, and modern engineering tools
  • Develop and maintain TDS-specific data repositories and enterprise-level data models
  • Ensure data is structured, versioned, traceable, and semantically aligned for AI/ML readiness
  • Translate business needs into high-quality data products and engineering requirements with data scientists, domain experts, and digital technology teams
  • Implement semantic models and future-proof data architectures with ontology and knowledge graph teams
  • Define data quality and performance standards and KPIs for accuracy, completeness, and consistency
  • Apply data versioning and lineage tracking for compliance, traceability, and audit readiness
  • Follow software development best practices, including code versioning, DevOps integration, and documentation
  • Engage scientific, technical, and operations stakeholders to understand requirements, design solutions, and drive adoption
  • Support multiple concurrent projects and manage priorities across the TDS network
Requirements
  • Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field
  • 3+ years of experience in data engineering, including data modeling and database design
  • Proficiency with Python, R, SQL, and cloud-based architectures such as AWS services, Snowflake, and Redshift
  • Experience with NoSQL and graph databases
  • Strong analytical, problem-solving, and stakeholder-management skills
  • Ability to translate discussions into actionable requirements
  • Ability to drive multiple projects simultaneously with strong organizational skills and adaptability
  • Preferred: experience with regulated or standards-driven data environments such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards
  • Preferred: familiarity with high-dimensional data such as imaging and sensor data
  • Preferred: experience connecting to or feeding MLOps and model deployment workflows
  • Preferred: knowledge of manufacturing systems, laboratory information systems, or industrial data systems
  • Preferred: experience with knowledge graph architectures
Core Competencies

Demonstrates expertise in designing and maintaining scalable data pipelines, ensuring data quality and compliance while collaborating with cross-functional teams to deliver high-quality data products. Proficient in utilizing modern engineering tools and cloud architectures to support data-driven decision-making in Therapeutics Development & Supply.

Highest-signal resume keywords
  • Data Engineering
  • Python Programming
  • SQL Proficiency
  • Cloud-Based Architectures
  • Data Modeling
ATS Optimization Keywords Hard Skills
  • Data Pipeline Design
  • Data Integration
  • Data Repository Development
  • Data Versioning
  • Data Lineage Tracking
  • Database Design
  • NoSQL Databases
  • Graph Databases
  • Data Quality Standards
  • AI/ML Readiness
Soft Skills
  • Analytical Skills
  • Problem-Solving
  • Stakeholder Management
  • Organizational Skills
  • Adaptability
Certifications & Qualifications
  • Advanced Degree in Engineering
  • Data Science
  • Life Sciences
  • Computer Science
Industry Keywords
  • Therapeutics Development
  • Regulated Data Environments
  • CDISC
  • HL7
  • FHIR
  • OMOP
  • DICOM
  • Manufacturing Standards
  • Knowledge Graph Architectures
  • High-Dimensional Data
Tools & Technologies
  • AWS Services
  • Snowflake
  • Redshift
  • DBT
  • DevOps Integration
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