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Data Engineer Jobs in Florida (NOW HIRING)

VaxCare

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

ABOUT VAXCARE Are you looking for a data engineering role that can meaningfully impact the physical health of the United States' population for the next 20 years? Do you want to write software that ...

Concord IT Systems

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Senior Data Engineer | Cloud & Pipeline Architecture Client: CoForge | Fiserv We are looking for a highly skilled Senior Data Engineer to lead the design, development, and optimization of our data ...

e-Med.us

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform.

Redolent

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Big Data Engineer We are currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL, and Chicago, IL. This is a 12+ month W2 contract ...

eMed LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform.

Slide Insurance

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

As a Data Engineer , you'll design and deliver scalable, analyticsready data solutions that support reporting, insights, and decisionmaking across the organization. You'll partner closely with ...

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

1872 Consulting

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer We're looking for a data engineer to support our growing business. This role will wear many hats within the data operations space as it supports all corporate functions as well as ...

RIT Solutions, Inc.

Data engineer

Orlando, FL · Hybrid

$106K - $128K/yr

Title: Data engineer Location: Hybrid. 2-3 days onsite Orlando, FL We're seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making across the ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating ...

Return Pro

Data Engineer

Aventura, FL

$110K - $133K/yr

Data Engineer FL Miami - Aventura, FL 33180 Overview Position Type Full Time Job Shift HQ: Standard 9am to 6pm Description We are seeking an experienced Data Engineer to lead the design, development ...

RIT Solutions, Inc.

Data Engineer

Altamonte Springs, FL · Hybrid

$107K - $128K/yr

Data Engineer * 3-6 month contract possible to hire after Must be able to convert without sponsorship * Every time there is a request, the team has to build a custom table and visualize that data.

iMPact Business Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Full-Time | Orlando, FL | Professional Level Our client is seeking a technically skilled and solution-oriented Data Engineer to join their Information Technology team. This position ...

Dlapiper

Data Engineer

Miami, FL

$109K - $131K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

West Palm Beach, FL

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Jacobs

Data Engineer

Miami, FL

$109K - $131K/yr

Our Data Engineer role is housed in our Digital & Data business unit and will focus on supporting our GIS and Data Engineers to help automate processes and expand our digital capabilities. The ideal ...

GEI Consultants

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Cross Catholic Outreach

Data Engineer

Pompano Beach, FL · On-site

$76K - $85K/yr

Data Engineer Department: Technology and Data Strategy Position Location: Remote Reports to: Data and Analytics Director Position Summary: The Data Engineer builds and maintains the data ...

Stellar IT Solutions

Data Engineer

Miami, FL

$109K - $131K/yr

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company ...

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All JobsData Engineer JobsData Engineer Jobs in Florida

Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.
More about Data Engineer jobs
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Data Engineer jobs near you
Data Engineer

Data Engineer

VaxCare

Orlando, FL • On-site

$106K - $128K/yr

Other

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

Job description

ABOUT VAXCARE
Are you looking for a data engineering role that can meaningfully impact the physical health of the United States' population for the next 20 years? Do you want to write software that transforms how healthcare vaccinates? VaxCare is a vaccine dispensing platform that leverages proprietary technology to improve immunization rates and overall vaccine program profitability. We are problem solvers at heart and are constantly looking to develop innovative tools and solutions that help accomplish our vision of every person fully vaccinated.
THE POSITION
You'll be a key member of VaxCare's Product Group, joining our Data Engineering team and reporting to our Data Engineering Lead. We are seeking a motivated and capable Data Engineer to join our team. As a Data Engineer, you will contribute to the design, development, and management of our data processing and analytics infrastructure. The ideal candidate will have hands-on experience working with Spark and Databricks, a solid foundation in data engineering principles, and a desire to grow into a senior technical contributor.
RESPONSIBILITIES
  • Develop and maintain Delta Lake-based data pipelines using Databricks Workflows, Delta Live Tables (DLT), and Unity Catalog for enterprise data governance
  • Build ELT/ETL pipelines using medallion architecture (bronze/silver/gold layers) supporting both batch and streaming workloads with Auto Loader and Structured Streaming
  • Implement lakehouse solutions leveraging Delta Lake ACID transactions, Z-ordering, liquid clustering, and partitioning strategies
  • Support CI/CD pipelines for data workflows using Git integration and Databricks Asset Bundles
  • Contribute to data quality frameworks using Delta Live Tables expectations and custom PySpark validation with automated alerting and SLA monitoring
  • Create materialized views and incremental refresh strategies for optimized query performance
  • Collaborate with data scientists, ML engineers and analysts to support feature engineering pipelines and MLOps workflows
  • Participate in code reviews and contribute to technical design discussions
  • Implement data observability, monitoring using Databricks SQL, Lakeview dashboards, and alerting frameworks
  • Support cost optimization efforts leveraging Photon engine, serverless compute, and platform best practices
  • Troubleshoot and resolve issues related to distributed computing, data skew, and performance bottlenecks
  • Contribute to technical documentation including data contracts, runbooks, and data catalog metadata in Unity Catalog
  • Follow DataOps best practices including testing strategies, performance tuning, and data platform engineering principles
  • Stay current with lakehouse architecture trends and emerging technologies to continuously improve our data infrastructure
EXPERIENCE AND QUALITIES DESIRED
Education:
  • Bachelor's degree in Computer Science, Data Engineering, Engineering, or related technical field OR equivalent practical experience
  • Master's degree or relevant industry certifications (Databricks Certified Data Engineer Associate, Azure Data certifications) are a plus
Experience:
  • Must be located in the Greater Orlando / Boston area.
  • 3-5 years of data engineering experience with 1+ years hands-on production experience building data pipelines on Databricks and Apache Spark
  • Experience contributing to lakehouse architecture implementations
Technical Skills:
Programming & Languages:
  • Strong proficiency in Python (PySpark, pandas) and SQL (complex queries, window functions, CTEs, query optimization)
  • Experience with Spark SQL, Delta Lake SQL, and Databricks SQL
Apache Spark Expertise:
  • Working knowledge of Apache Spark including:
    • Performance fundamentals (partitioning, broadcast joins, data skew handling, caching strategies)
    • Delta Lake features (ACID transactions, time travel, MERGE operations, CDC, liquid clustering)
Databricks Platform:
  • Hands-on experience with Databricks including:
    • Delta Live Tables (DLT) for declarative pipeline development
    • Unity Catalog for data governance, access control, and lineage tracking
    • Databricks Workflows and orchestration
    • Basic understanding of cluster configuration and cost-aware compute selection
    • Databricks SQL and Lakeview dashboards
Data Architecture & Modeling:
  • Solid understanding of data modeling techniques:
    • Dimensional modeling (star schema, fact/dimension tables)
    • Medallion architecture (bronze/silver/gold layers)
    • Slowly Changing Dimensions (SCD) implementations
  • Strong SQL skills including query optimization and performance tuning
  • Familiarity with modern lakehouse patterns and understanding of lakehouse vs. traditional data warehouse trade-offs
DevOps & DataOps:
  • Familiarity with DevOps/DataOps practices:
    • Git workflows (branching strategies, pull requests, code reviews)
    • CI/CD pipelines for data workflows (GitHub Actions, Azure DevOps, Jenkins)
    • Testing strategies (unit tests, integration tests, data quality tests)
    • Basic monitoring and observability (logging, alerting)
Collaboration & Growth:
  • Works independently to deliver high-quality, well-tested solutions with meaningful impact on the team's data infrastructure
  • Takes ownership of assigned projects and drives them to completion with minimal oversight
  • Strong communication and collaboration skills in cross-functional team environments
  • Proactive in identifying problems and proposing solutions, even outside immediate area of responsibility
  • Demonstrates initiative in expanding technical depth and breadth, with a trajectory toward senior-level engineering
  • Open to feedback and committed to continuous improvement

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