1

Dbt Data Engineer Jobs in Florida (NOW HIRING)

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing ... Data Factory, dbt, Snowflake, Salesforce, and related platforms. • Review and guide data ...

Snowflake Developer

Tallahassee, FL

$108K - $130K/yr

Understanding of DevOps and CI/CD practices in data engineering (e.g., Git, dbt Cloud, or GitHub ... Actions). General Knowledge Skills and Abilities (KSAs) The submitted candidate must be able to ...

Snowflake Developer (Tallahassee, FL)

Tallahassee, FL · On-site

$108K - $130K/yr

Understanding of DevOps and CI/CD practices in data engineering (e.g., Git, dbt Cloud, or GitHub ... Actions). General Knowledge Skills and Abilities (KSAs) The submitted candidate must be able to ...

Snowflake Developer (Tallahassee, FL)

Tallahassee, FL · On-site

$108K - $130K/yr

Understanding of DevOps and CI/CD practices in data engineering (e.g., Git, dbt Cloud, or GitHub ... Actions) General Knowledge Skills and Abilities (KSAs) The submitted candidate must be able to ...

Proficiency in data engineering languages, frameworks, and tooling, including SQL, Python, and DBT. * Strong analytical, problem-solving, and critical thinking skills. * Effective communication, both ...

Showing results 41-60

Dbt Data Engineer information

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 job categories do people searching Dbt Data Engineer jobs in Florida look for?

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

What cities in Florida are hiring for Dbt Data Engineer jobs?

Cities in Florida with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Posted 20 days ago


Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 52 rated entertainment


Job description

Job Posting Title:

Mgr, Data Product Mgmt

Req ID:

10155061

Job Description:

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

As the Manager of Data Product Management , you will be at the helm of our efforts to define, build, and deliver high-value data products across the organization. You will be responsible for leading, mentoring, and growing a team of Data Product Managers and Product Managers, ensuring they have the support, direction, and resources to excel. This role demands a blend of strong technical acumen, strategic leadership, and exceptional people management skills.

Crucially, you will actively champion the alignment of our data product strategy with overarching business goals, ensuring deep collaboration across business units to jointly define and prioritize domain-driven data products. You will foster a culture of innovation and excellence, acting as a key liaison between engineering, product, data science, and business stakeholders to ensure our data assets are robust, accessible, and directly support our company's strategic goals, especially within AI/ML initiatives.

What You'll Do:

  • Lead & Develop High-Performing Teams: Recruit, onboard, mentor, and manage a team of Data Product Managers, including Lead Product Managers. Foster a culture of technical excellence, continuous learning, accountability, and psychological safety. Conduct performance reviews, set clear objectives, and support career growth.
  • Strategic Data Product Leadership & Business Alignment: Lead the development and communication of our data product strategy and roadmap, actively collaborating with business leaders and stakeholders across all relevant departments (e.g., Marketing, Finance, Operations, Product Management). Drive consensus and alignment on key data domains and ensure our Domain-Driven Design (DDD) approach directly reflects and supports core business processes and strategic objectives. You will be instrumental in translating business strategy into a cohesive data strategy, fostering a shared understanding of data value, and accelerating data-driven decision-making across the enterprise.
  • Architectural Guidance & Technical Governance: Provide architectural oversight and technical guidance to your team, ensuring data product designs are scalable, resilient, secure, and maintainable. Champion best practices for data modeling (Kimball, DDD), data quality, governance, and CI/CD for our Snowflake, dbt, AWS Lambda, and Kinesis-based data platform.
  • Drive Operational Excellence: Establish and enforce robust processes for data product lifecycle management, including incident response, performance monitoring, cost optimization, and adherence to data governance policies. Ensure reliable and timely delivery of data to support business operations and AI/ML workloads.
  • Vendor & Resource Management: Manage budget allocation for your team, evaluate and manage relationships with external vendors and technology partners, ensuring optimal utilization of resources and technologies.
  • Innovate & Champion AI/ML Data Readiness: Guide the team in designing and building data products that specifically empower our AI/ML efforts, ensuring data is clean, well-structured, and readily available for feature engineering, model training, and inference. Stay abreast of industry trends in data engineering and AI/ML.

Required Qualifications & Skills:

  • Minimum 8 years of related work experience
  • Leadership & Management Skills: Demonstrated ability to inspire, motivate, and develop technical talent. Strong skills in hiring, performance management, conflict resolution, and fostering a collaborative team environment.
  • Strategic & Product Mindset: A deep understanding of data as a product, with the ability to define product vision, build roadmaps, and drive execution. Proven ability to not only define data product vision and roadmaps but also to secure organizational buy-in and drive cross-functional alignment on data strategy and the foundational role of domain-driven data products. Exceptional ability to bridge the gap between technical possibilities and business realities, translating complex data concepts into tangible business value.

Deep Technical Acumen:

  • Expert-level understanding and practical experience with Snowflake for data warehousing and performance optimization.
  • Extensive experience with dbt (Data Build Tool) for advanced data modeling, transformation, and governance.
  • Demonstrated expertise in designing and implementing real-time data pipelines using AWS Lambda and AWS Kinesis.
  • Strong command of Python for data engineering and automation; familiarity with other languages like Java is a plus.
  • Solid understanding of how to prepare and provision data for AI/ML applications and platforms.
  • Proficiency in applying Kimball's dimensional modeling and Domain-Driven Design (DDD) principles to complex data architectures.
  • Communication & Influence: Exceptional written and verbal communication skills, with a proven ability to facilitate strategic discussions, gain consensus, and articulate complex technical and strategic concepts to diverse audiences (engineers, executives, business users). Demonstrated ability to influence data strategy decisions and drive adoption of data product best practices across the organization.
  • Problem-Solving: A highly analytical and structured approach to problem-solving, with a track record of tackling complex technical and organizational challenges.

Required Education:

  • Bachelor's degree and/or equivalent work experience
The hiring range for this position in Florida is $163,400.00-$219,100.00 per year, in California is $171,600-$230,100 per year, and in Washington is $179,700.00- $241,000.00 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Emerging Tech & Data

Primary Job Posting Category:

Product Management

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave, USA - WA - 925 4th Ave

Date Posted:

2026-07-24

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media