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Data Engineer Project Jobs in Florida (NOW HIRING)

Fintech Brand

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations * Advanced ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... projects or dbt packages Skills: Salesforce,bigquery

ManTech

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

... projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data ... MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations Technical ...

Disney Experiences

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

Disney Experiences Careers

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations Technical ...

Disney Experiences Careers

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

Genesis10

Entry Level Data Engineer

Orlando, FL · On-site

$60K/yr

Now hiring for our Data Engineer cohort starting in November 2026. To apply, please submit a formal ... Programming experience (6+ months) shown on your resume from academic coursework, personal projects ...

Deloitte

Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite ...

Deloitte

Data Engineer II

Jacksonville, FL · On-site

$106K - $127K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite ...

Pwc

Data Engineer - Senior Manager

Miami, FL

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Manager

Orlando, FL · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Deloitte

Data Engineer II

Tampa, FL · On-site

$108K - $129K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite ...

Kforce Technology Staffing

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

RESPONSIBILITIES: Kforce has a client that is seeking a Data Engineer in Miami, FL ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Pwc

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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Showing results 21-40

All JobsData Engineer Project JobsData Engineer Project Jobs in Florida

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

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

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

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

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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

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

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

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

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

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

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project 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.

Data Engineer - Databricks

Fintech Brand

Tampa, FL • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision‑making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities

Project Responsibility: End-to-end data pipelines and integrations

  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose‑built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end‑to‑end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large‑scale ML workloads
  • Explore and implement LLM‑based solutions, RAG architectures, and generative AI for business use cases.
Soft Skills
  • Cross‑functional collaboration with product and engineering teams
  • Analytical thinking for complex data problems
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability
  • Vendor Management: Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects
Qualifications

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production.

Benefits
  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short‑Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Holiday Bonus
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

Fintech is a Drug‑Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy‑related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E‑Verify.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.

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