1

Staff Data Engineer Jobs in Florida (NOW HIRING)

Pricing Data Engineer

Miami, FL · On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... recognize our staff professionals for their work. Full time positions are eligible for a ...

Job Title Full-Stack Data Engineer Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required TS ...

Senior Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs ... staff, vendors, and government regulators * Strong knowledge and understanding of credit union ...

Senior Data Engineer

Tampa, FL · On-site

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs ... staff, vendors, and government regulators * Strong knowledge and understanding of credit union ...

Data Layer Engineer

Doral, FL · On-site

$109K - $131K/yr

Job Title Data Layer Engineer Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required TS/SCI ...

Data Modeler

Tallahassee, FL · On-site

$52 - $67.50/hr

The Data Modeler will serve as a Data Engineer for the Data & Analytics Office, responsible for ... staff members and colleagues, fostering a culture of continuous learning, innovation, and ...

Data Modeler

Tallahassee, FL · On-site

$52 - $67.50/hr

They are seeking a Data Modeler to serve as a Data Engineer, responsible for designing and ... staff members and colleagues, fostering a culture of continuous learning, innovation, and ...

Data Solutions Engineer

Orlando, FL · On-site

$106K - $128K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and ... other support staff). 2. Ability to lead and build consensus among peers and staff. 3. ...

Showing results 21-40

Staff Data Engineer information

See Florida salary details

$17.2K

$74.2K

$143.9K

How much do staff data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for staff data engineer in Florida is $74,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $93,400.00 per year, depending on experience, location, and employer.

What is a staff data engineer?

Staff Data Engineers are senior-level professionals responsible for designing, building, and maintaining large-scale data processing systems and architectures. They often lead technical initiatives, set data engineering standards, and mentor other engineers within a company. Staff Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure reliable and efficient data pipelines. Their role requires deep expertise in data modeling, ETL processes, distributed systems, and cloud technologies. They play a crucial part in enabling organizations to make data-driven decisions at scale.

How does a staff data engineer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Staff Data Engineer, you’ll frequently partner with data scientists, analysts, and product managers to understand project requirements and design scalable data systems. You'll be responsible for translating business needs into technical specifications, recommending best practices, and mentoring junior engineers. Collaboration often involves participating in sprint planning, code reviews, and architecture discussions to ensure data solutions are robust, secure, and aligned with organizational goals. Effective communication and a proactive approach to problem-solving are key to successful collaboration in this role.

What are the key skills and qualifications needed to thrive as a staff data engineer, and why are they important?

To thrive as a Staff Data Engineer, you need advanced proficiency in data architecture, programming (such as Python, Java, or Scala), and experience with large-scale data systems, supported by a bachelor's or master's degree in computer science or a related field. Familiarity with big data tools (Hadoop, Spark), cloud platforms (AWS, GCP, or Azure), and relevant certifications like Google Professional Data Engineer or AWS Data Analytics are typically required. Strong problem-solving abilities, effective communication, and leadership skills help drive cross-functional projects and mentor junior engineers. These skills ensure the design, implementation, and maintenance of robust data infrastructure that supports organizational decision-making and scalability.

What is the difference between Staff Data Engineer vs Data Engineer?

AspectStaff Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience with big data toolsBachelor's in CS or related field, some experience with data pipelines
Work EnvironmentSenior-level, cross-team collaboration, leadership rolesEntry to mid-level, focused on building data pipelines
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsStartups, small to medium enterprises, tech firms

The main difference is that a Staff Data Engineer typically has more experience, leadership responsibilities, and works on complex projects across teams, whereas a Data Engineer focuses on developing and maintaining data pipelines at an operational level.

What are popular job titles related to Staff Data Engineer jobs in Florida?

For Staff Data Engineer jobs in Florida, the most frequently searched job titles are:

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

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

Infographic showing various Staff Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $74,228 per year, or $35.7 per hour.

Pricing Data Engineer

Mwe

Miami, FL • On-site

$110K - $169K/yr

Full-time

Re-posted 19 days ago


Job description

Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.

At McDermott, we don't just invest in your future, we accelerate your career - wherever it may lead. That includes supporting you both in and outside of the office.

With us, you'll find:

  • A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity - we encourage you to be yourself!

  • Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.

  • Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.

  • Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence.

Job Description:

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on manual processes. This role supports scalable solutions and the integration of AI-driven capabilities to enhance pricing analysis and insights, and collaborates with cross-functional teams to align with firm standards and continuous improvement efforts. The Pricing Data Engineer works under minimal supervision, and relies on significant experience to plan and accomplish objectives.

Essential Functions and Responsibilities:

  • Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm

  • Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing

  • Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models

  • Develop and manage data pipelines and queries to support pricing analysis and reporting

  • Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutions

  • Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces

  • Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-making

  • Collaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven tools

  • Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies

  • Develop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine matters

  • Design pricing processes to be natively executable using AI tools

  • Design and maintain a centralized pricing data layer to support consistent data access and usability

  • Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels

  • Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies

Job Specifications:

  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred

  • Strong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions

  • Experience working with AI platforms, automation tools, or AI-enabled workflows preferred

  • Knowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferred

  • Strong mathematical and analytical skills

  • Ability to work under tight deadlines and prioritize responsibilities

Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.


Target Hiring Range $110,000 - $169,000


Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Physical Demands and Work Environment:

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands:

  • While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear

  • Employee must occasionally lift up to twenty (20) pounds

Work Environment:

Typical indoor office environment

Disclaimer:

The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.