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Dbt Analytics Jobs in Illinois (NOW HIRING)

DBT Snowflake Developer Location: ONSITE- Chicago, IL Experience: 5 years H1B Description: DBT ... data analysts, engineers, and business stakeholders • to understand data requirements and ...

Experience with DBT, Fivetran, Python, or similar data transformation tools * Familiarity with data ... analysis, or LLM-based queries Additional Requirements * Must pass any and all required background ...

Analytics Engineer

Chicago, IL · On-site

$95K - $115K/yr

Experience with DBT, Fivetran, Python, or similar data transformation tools * Familiarity with data ... analysis, or LLM-based queries Additional Requirements * Must pass any and all required background ...

Analytics Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

Experience with DBT, Fivetran, Python, or similar data transformation tools * Familiarity with data ... analysis, or LLM-based queries Additional Requirements * Must pass any and all required background ...

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Analytics Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

Experience with DBT, Fivetran, Python, or similar data transformation tools * Familiarity with data ... analysis, or LLM-based queries Additional Requirements * Must pass any and all required background ...

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

Senior Analytics Engineer at SpotHero: As a Senior Analytics Engineer, you are responsible for ... or Dbt core). * Strong SQL and data modeling skills. Bonus : Strong Python experience.

Senior Analytics Engineer at SpotHero: As a Senior Analytics Engineer, you are responsible for ... or Dbt core). * Strong SQL and data modeling skills. Bonus : Strong Python experience.

Senior Analytics Engineer

Chicago, IL · On-site

$93K - $120K/yr

Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ... Develop reusable analytics components to accelerate data product development Data Product ...

Senior Analytics Engineer

Chicago, IL · On-site

$93K - $120K/yr

Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ... Develop reusable analytics components to accelerate data product development Data Product ...

Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ... Develop reusable analytics components to accelerate data product development Data Product ...

Senior Analytics Engineer

Chicago, IL · On-site

$93K - $120K/yr

Build and manage dbt projects, including models, tests, documentation, and lineage * Design, deploy ... Develop reusable analytics components to accelerate data product development Data Product ...

Develop and maintain data models in Snowflake with dbt * Design and build a testing and alerting ... Design and build a self-service analytics AI framework, including both the semantic modeling and ...

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Showing results 1-20

Dbt Analytics information

See Illinois salary details

$36.3K

$61.9K

$89.2K

How much do dbt analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for dbt analytics in Illinois is $61,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $68,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a DBT Analytics professional, and why are they important?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a Dbt Analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is a dbt Analytics job?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

What cities in Illinois are hiring for Dbt Analytics jobs? Cities in Illinois with the most Dbt Analytics job openings:
Infographic showing various Dbt Analytics job openings in Illinois as of May 2026, with employment types broken down into 4% Internship, 1% As Needed, 51% Full Time, 39% Part Time, and 5% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $61,924 per year, or $29.8 per hour.

DBT Snowflake Developer

Purple Drive

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Overview:
ROLE:DBT Snowflake Developer
Location: ONSITE- Chicago, IL
Experience: 5 years
H1B
Description:
DBT, Snowflake, SQL, Data warehousing, ETL, Git, Data Modelling techniques
"A Job Description (JD) for a DBT Developer with 3-5 years of experience, focusing on macros,
modeling, and hands-on SQL within a Snowflake platform, would typically include the following:
Job Title: DBT Developer (Snowflake)
Experience: 3-5 years
Roles and Responsibilities:
• DBT Development & Data Transformation:
• Design, develop, and maintain robust and scalable data transformation
• pipelines using dbt on the Snowflake platform.
• DBT Macro Development to Create and utilize Jinja-based DBT
• macros to promote code reusability, modularity, and dynamic SQL
• generation within DBT projects.
• Data Transformation & Orchestration to Implement and manage data
• transformation pipelines using DBT, integrating with various data
• sources and ensuring efficient data flow.
• Utilize advanced dbt concepts, including macros, materializations
• (e.g., incremental, view, table), snapshots, and configurations to build efficient data models.
• Write highly optimized and complex SQL queries for data manipulation, cleaning,
• aggregation, and transformation within dbt models.
• Implement and enforce best practices for dbt project structure, version control
• (Git), documentation, and testing.
• Data Modeling:
• Collaborate with data analysts, engineers, and business stakeholders
• to understand data requirements and translate them into effective
• data models (e.g., star schema, snowflake schema).
• Design and implement logical and physical data models within dbt
• to support analytical and reporting needs.
• Snowflake Platform Expertise:
• Leverage Snowflake features and functionalities for performance
optimization, including virtual warehouses, clustering, caching, and query optimization.
• Manage and optimize data ingestion and integration processes from various
sources into Snowflake.
• Collaboration & Communication:
• Work closely with cross-functional teams to understand business
• equirements, troubleshoot issues, and deliver high-quality data solutions.
• Participate in code reviews, provide constructive feedback, and ensure
adherence to coding standards.
• Communicate technical concepts effectively to both technical and
non-technical audiences.
• Quality & Governance:
• Ensure data quality, integrity, and lineage throughout the data
transformation process.
• Implement and maintain DBT tests to ensure data quality, integrity,
and adherence to business rules.
• Implement and maintain data governance policies and procedures
within the dbt environment.
• Develop and execute automated tests for dbt models to ensure
data accuracy and reliability.
• Continuous Improvement:
• Stay updated with the latest dbt and Snowflake features and best practices.
• Identify opportunities for process improvements and implement automation
where appropriate.
Required Skills:
• Proven hands-on experience with dbt in a production environment, including
extensive use of macros and advanced modeling techniques.
• Expert-level proficiency in SQL for data querying, manipulation, and transformation.
• Strong experience with Snowflake, including performance tuning and optimization.
• Solid understanding of data warehousing concepts and ETL/ELT processes.
• Experience with version control systems, particularly Git.
• Familiarity with data modeling principles (star schema, snowflake schema).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities."