ZipRecruiter

Log In

1

Dbt Developer Jobs in Connecticut (NOW HIRING)

Quest Global

Senior Lead Engineer

Windsor, CT

$140K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... DBT; Tableau; Python; Pandas; NumPy; AirFlow; Shell scripting; PL/SQL; Postgres SQL, and; GitHub.

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Familiarity with dbt, Spark, Hadoop, or other modern data engineering technologies. * Experience working in Agile development environments. * Exposure to Generative AI technologies, Agentic AI ...

Quest Global

Senior Lead Engineer

Windsor, CT

$140K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... DBT; Tableau; Python; Pandas; NumPy; AirFlow; Shell scripting; PL/SQL; Postgres SQL, and; GitHub.

Quest Global

Senior Lead Engineer

Windsor, CT · On-site

$140K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... DBT; Tableau; Python; Pandas; NumPy; AirFlow; Shell scripting; PL/SQL; Postgres SQL, and; GitHub.

Deloitte

Lead Forward Deployed Engineer - AWS

Hartford, CT

$103K - $136K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Senior Forward Deployed Engineer- AWS

Stamford, CT

$111K - $153K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Lead Forward Deployed Engineer - AWS

Stamford, CT

$109K - $143K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Senior Forward Deployed Engineer- AWS

Hartford, CT

$105K - $144K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

previous pagenext page

Showing results 21-40

All JobsDbt Developer JobsDbt Developer Jobs in Connecticut

Dbt Developer information

See Connecticut salary details

$16

$50

$77

How much do dbt developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for dbt developer in Connecticut is $50.26, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $61.49 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 Connecticut?

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

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

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

Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in Connecticut as of August 2026, with employment types broken down into 79% Full Time, 4% Part Time, 2% Temporary, and 15% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $104,551 per year, or $50.3 per hour.

Cloud Data Architect -ELT AWS Snowflake with Security Clearance

Anonymous Employer

Redding Ridge, CT • On-site

$66 - $85/hr

Other

Re-posted 16 days ago

Job description

Duties & Responsibilities
• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
• Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks
• Collaborate with data scientists, analysts, and other business stakeholders to understand data requirements and deliver solutions.
• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility.
• Implement data quality and validation processes to ensure data accuracy and reliability.
• Develop and maintain documentation for data processes, architecture, and workflows.
• Monitor and troubleshoot data pipeline performance and resolve issues promptly.
• Consulting and Analysis: Meet regularly with defined clients and stakeholders to understand and analyze their processes and needs. Determine requirements to present possible solutions or improvements.
• Technology Evaluation: Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Requirements
Data Engineer
• Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree in Computer Science, or MIS, or related field with a minimum of 2 years of experience; or a Master degree in Computer Science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.
• Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses
• Knowledge of project management and experience working on project teams required.
• Moderate knowledge of and experience with life cycle methodology,
• Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)
• Moderate knowledge of and experience with the software development lifecycle.
• Experience working in project teams and contributing to a successful outcome
• Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation
• Proficiency in Python and SQL
Sr. Data Engineer • Associate degree in Computer Science, MIS or related field with a minimum of 8 years experience; or Bachelor degree in Computer Science, or MIS, or related field with minimum of 4 years of experience; or a Master degree in Computer Science, MIS, or related field with minimum 2 years of experience; or relevant Business or IT experience of minimum of 4 years.
• Cloud Expertise: Expert-level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services (e.g., AWS S3, Glue, Lambda, Redshift, Kinesis; Azure Data Lake, Data Factory, Synapse, Event Hubs; GCP BigQuery, Dataflow, Pub/Sub, Cloud Storage); experience with AWS data cloud platform preferred
• SQL Mastery: Advanced SQL writing and optimization skills.
• Data Warehousing: Deep understanding of data warehousing concepts, Kimball methodology, and various data modeling techniques (dimensional, star/snowflake schemas).
• Big Data Technologies: Experience with big data processing frameworks (e.g., Spark, Hadoop, Flink) is a plus.
• Database Systems: Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• DevOps/CI/CD: Familiarity with DevOps principles and CI/CD pipelines for data solutions.
• Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation
• Proficiency in Python and SQL
• Desired Skills, Experience and Abilities
• 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms.
• ETL/ELT Tools: Hands-on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt).
• Data Governance: Understanding of data governance, data quality, and metadata management principles.
• AWS Experience: Ability to evaluate AWS cloud applications, make architecture recommendations; AWS solutions architect certification (Associate or Professional) is a plus
• Familiarity with Snowflake
• Knowledge of dbt (data build tool)
• Strong problem-solving skills, especially in data pipeline troubleshooting and optimization

Apply