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Dbt Data Engineer Jobs in Springfield, MA (NOW HIRING)

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ... Experience with dbt (data build tool) for transformation layer development * Exposure to cloud ...

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 ...

ISO New England, Inc.

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master ... Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelines

Travelers

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Hands-on experience with dbt for modular, version-controlled data transformation and integration ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Hands-on experience with dbt for modular, version-controlled data transformation and integration ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Hands-on experience with dbt for modular, version-controlled data transformation and integration ...

Deloitte

Senior Forward Deployed Engineer- AWS

Hartford, CT · On-site

$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 ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Springfield, MA

Dbt Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do dbt data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for dbt data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 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 Springfield, MA? For Dbt Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Dbt Data Engineer jobs in Springfield, MA look for? The top searched job categories for Dbt Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Dbt Data Engineer jobs? Cities near Springfield, MA with the most Dbt Data Engineer job openings:
Dbt Data Engineer jobs near you

DATA Engineer

Teamware Solutions

East Hartford, CT • On-site

$113K - $136K/yr

Other

Posted 10 days ago

Job description

 
 

Must be Local only within 40 Miles area

Relocation will not work

 
 
Look insurance domain highly preferred
 
 

Job Description:

11 Years exp 

We are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and warehouse solutions that power business-critical analytics. You will work closely with data architects, analysts, and business stakeholders to deliver robust data products on modern lakehouse platforms.
Key Responsibilities
  • Design and develop end-to-end data pipelines using Apache Spark and Databricks, following medallion (Bronze/Silver/Gold) architecture patterns
  • Build and maintain large-scale SQL-based data warehouses, including dimensional models, star/Client schemas, and performance-tuned queries
  • Lead data ingestion from diverse sources (RDBMS, APIs, flat files, streaming) into centralized platforms with strong data quality controls
  • Implement and enforce Unity Catalog governance standards — data lineage, access controls, tagging, and cataloging
  • Optimize Spark jobs for performance, cost efficiency, and reliability at scale
  • Collaborate with architects to define standards for data modeling, pipeline design, and naming conventions
  • Mentor junior engineers and conduct code reviews to uphold engineering best practices
  • Partner with business analysts and data consumers to translate requirements into scalable data solutions
  • Proactively identify and resolve data quality, latency, and pipeline reliability issues
Required Skills & Qualifications
  • 10+ years of hands-on experience in data engineering
  • Strong expertise in Apache Spark (PySpark / Scala) and Databricks platform
  • Deep proficiency in SQL — query optimization, window functions, complex transformations, stored procedures
  • Solid experience with data warehousing concepts — normalization, SCD types, fact/dimension modeling
  • Experience with Client Lake or similar open table formats (Apache Iceberg, Hudi)
  • Hands-on with orchestration tools such as Apache Airflow, Databricks Workflows, or Azure Data Factory
  • Familiarity with version control (Git) and CI/CD practices for data pipelines
  • Strong understanding of data governance — lineage, cataloging, data quality frameworks
  • Excellent problem-solving skills and ability to work independently in a client-facing environment
Good to Have
  • Experience with dbt (data build tool) for transformation layer development
  • Exposure to cloud platforms — AWS
  • Knowledge of streaming technologies (Kafka, Event Hubs)
  • Familiarity with Great Expectations or other data quality frameworks

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