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Dbt Developer Jobs in Florida (NOW HIRING)

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Strong proficiency in Python, SQL, and data transformation frameworks such as dbt * Experience ...

The AI Product Engineer will shape data architecture and AI-assisted analytics to enhance decision ... dbt, and AWS • Implement scalable ETL processes and data models that power analytics across the ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data ... and dbt to support business requirements • Build and optimize data models and workflows to ...

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Data Engineer (AI-focused) We work with teams building data foundations for AI-and we're looking to ... Airflow / dbt / Spark * Data warehouses (Snowflake, BigQuery, Redshift) * Streaming tools (Kafka ...

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Role: Sr. Data engineer Location: Jacksonville, FL (onsite) Job type: Fulltime Qualifications ... Hands-on experience with ETL/ELT development using tools like dbt, Informatica, Talend, Apache ...

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing ... Strong experience with ETL/ELT tools (e.g., Azure Data Factory, dbt, Informatica, Talend). Hands-on ...

Experience implementing enterprise-grade semantic layers and dbt best practices across staging ... advising ETL developers, and designing logical and physical analytic data structures.

Experience implementing enterprise-grade semantic layers and dbt best practices across staging ... advising ETL developers, and designing logical and physical analytic data structures.

Production experience with dbt and Airflow, including building and maintaining semantic or metrics layers. * Strong Python engineering skills and solid experience working within AWS environments ...

Showing results 21-40

Dbt Developer information

See Florida salary details

$12

$39

$61

How much do dbt developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for dbt developer in Florida is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $48.32 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Dbt Developer jobs in Florida?

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

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

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

What cities in Florida are hiring for Dbt Developer jobs?

Cities in Florida with the most Dbt Developer job openings:

Infographic showing various Dbt Developer job openings in Florida as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $82,131 per year, or $39.5 per hour.

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

At TelevisaUnivision, we are the world's leading Spanish-language media company, reaching millions of consumers across digital, streaming, social, audio, linear television, and live events. As we continue expanding our global streaming platform, ViX, we are investing heavily in technology, data, and innovation to deliver exceptional subscriber experiences and drive long-term business growth.
The Senior Data Engineer will play a key role in the design, development, and deployment of our data
platform. The ideal candidate will have a strong technical background in data engineering and be
experienced in building and maintaining large-scale data systems. The Senior Data Engineering will work closely with other teams, such as data science and
product development, to understand their data needs and ensure initiatives are driven to completion.
The ideal candidate combines strong technical expertise with a collaborative mindset, a passion for solving complex data challenges, and a commitment to delivering high-quality solutions at scale.
ABOUT YOU:
You are a data engineering professional who thrives in a fast-paced, collaborative environment and enjoys transforming complex data into actionable business value.
You bring:
  • Deep expertise in modern cloud-based data platforms, particularly Google Cloud Platform (GCP)
  • Strong proficiency in Python, SQL, and data transformation frameworks such as dbt
  • Experience working with large-scale distributed systems and big data technologies, including Spark, and Hadoop
  • Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
  • Excellent problem-solving skills with the ability to design scalable and efficient solutions
  • Strong attention to detail and the ability to manage multiple priorities effectively
  • Outstanding communication and collaboration skills, with the ability to partner across technical and non-technical teams
  • A continuous improvement mindset and passion for mentoring and knowledge sharing

YOUR DAY-DAY: (Responsibilities)
Data Platform Development
  • Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow, Python, SQL, and dbt to support business requirements
  • Build and optimize data models and workflows to support analytics, reporting, machine learning, and product initiatives
  • Ensure data quality, integrity, security, and availability across the data ecosystem

Cross-Functional Collaboration
  • Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
  • Drive data architecture discussions and contribute to long-term platform strategy
  • Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies

Performance & Optimization
  • Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency
  • Monitor, troubleshoot, and resolve data pipeline and platform issues
  • Implement best practices for data governance, observability, and operational excellence

Leadership & Team Contribution
  • Mentor and support junior data engineers through technical guidance and knowledge sharing
  • Contribute to architectural decisions and engineering best practices
  • Participate in technical interviews and help grow a high-performing data engineering team

YOU HAVE: (Qualifications, Experience)
Required Experience & Skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
  • 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
  • Advanced proficiency in Python and SQL
  • Hands-on experience building and maintaining production-grade data pipelines
  • Strong experience with cloud data platforms, preferably Google Cloud Platform (GCP); AWS experience will also be considered
  • Experience with workflow orchestration and transformation tools such as Airflow and dbt
  • Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
  • Solid understanding of distributed data processing frameworks, including Spark
  • Experience working with modern data warehousing and storage technologies
  • Strong analytical, troubleshooting, and problem-solving abilities

Preferred Qualifications
  • Experience supporting machine learning and data science workflows
  • Familiarity with data observability, data quality frameworks, and CI/CD practices
  • Experience working within subscription-based, media, streaming, or digital product organizations

ELIGIBILITY REQUIREMENTS
  • Must be authorized to work in the United States
  • Must be willing to work from our Miami, Florida office
  • Employment and educational background verification required

OUR BENEFITS:
TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO, tuition reimbursement, wellness and employee support programs, 401(k), and life and other insurance plans.
This is in addition to a comprehensive and competitive health benefits package featuring medical, dental, and vision coverage options.
TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.