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Data Engineer Jobs in Sunrise, FL (NOW HIRING)

Data Engineer I

Plantation, FL ยท On-site

$65 - $90/hr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This ...

Data Engineer I

Plantation, FL ยท On-site

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This ...

Data Engineer I

Plantation, FL

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This ...

AI Data Engineer

Fort Lauderdale, FL ยท On-site

$109K - $131K/yr

Broward Health is a healthcare organization focused on providing quality services, and they are seeking an AI Data Engineer. The role involves designing and maintaining data pipelines for AI model ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

Data Engineer - Senior Manager

Miami, FL ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Lead Data Engineer

Miami, FL ยท Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and ...

Lead Data Engineer

Miami, FL ยท Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and ...

Data Engineer II

Miami, FL ยท On-site

$109K - $131K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Senior Data Engineer

Miami, FL

$101K - $137K/yr

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 ...

Senior Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

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 ...

Lead Data Engineer

Miami, FL ยท Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and ...

Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite Employment Type: Direct hire, full-time Role Type: Hands-on individual contributor and technical ...

New

Sr Databricks Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

We're looking for a Staff Data Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

We're looking for a Staff Data Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

Senior Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

We are looking for a Senior Data Engineer to join our growing data platform team. You will own the design, build, and reliability of our cloud-native data lakehouse - from raw ingestion through to ...

Showing results 21-40

Data Engineer information

See Sunrise, FL salary details

$42.4K

$123.7K

$169.3K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Sunrise, FL is $123,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Sunrise, FL?

The most popular types of Data Engineer jobs in Sunrise, FL are:

What are popular job titles related to Data Engineer jobs in Sunrise, FL?

For Data Engineer jobs in Sunrise, FL, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Sunrise, FL look for?

The top searched job categories for Data Engineer jobs in Sunrise, FL are:

What cities near Sunrise, FL are hiring for Data Engineer jobs?

Cities near Sunrise, FL with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Sunrise, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,702 per year, or $59.5 per hour.

Sr. Data Engineer

Symbiotic Consulting Group

Deerfield Beach, FL โ€ข On-site

$110K - $133K/yr

Other

Re-posted 7 days ago


Job description

Sr. Data Engineer will be responsible for developing curated data (data models, data ETL pipelines, views) in a cloud-based environment to support business needs for analytics and reporting. The engineer will assist an existing team with migration from on prem to cloud-based data delivery platform and should have experience in migration of environments.  The candidate will provide guidance and support for the set-up of the new environment along with best practices and recommendations based on industry and hands on experience as a data engineer. In addition, the candidate should have experience with standardizing data modeling and design frameworks for analysis, design, building, testing and maintenance.  Cloud based data engineering is required and experience using the Azure stack is highly preferred and recommended.  Candidates must possess the technical capabilities to extract, retrieve and analyze data with SQL based tools. The engineer should possess strong interpersonal communication skills to be able to bridge the gap between business and technical users to understand and assess requirements and deliver data driven solutions. The role will also involve adhering to data governance standards and practices along with experience developing in an agile environment using Azure boards or similar tool such as Azure Dev Ops.

       Responsible for eliciting, understanding, interpreting and representing business requirements.

       Act as the conduit between the customer and technical teams to ensure requirements are understood.

       Responsible for understanding business processes to develop business models.

       Provide subject matter expertise on the use of data as well as educate teams on business model, metadata and standards.

       Responsible for understanding source systems and its data models.

       Develop source to target mappings for data lineage.

       Document source architecture to include data flows.

       Responsible for analyzing data to validate business domains and requirements.

       Responsible for data profiling and ensuring data quality requirements are accurate and complete.

       Act in an advisory capacity in data model reviews, architecture approach and solution design to ensure high quality deliverables.

       Responsible for partnering with management and business units on innovative ways to successfully utilize data and related tools to advance business objectives.

       Responsible for providing day-to-day support, troubleshooting and incident management and resolution.

       Responsible for communicating planned and unplanned activities to appropriate parties as needed.

       Provide ad hoc support for Business reporting requests

Requirements

       Bachelorโ€™s degree or equivalent plus 7 years of related professional experience. Degree in technology related area preferred.

       5+ years experience as a Data Engineer/Analyst, specifically utilizing Azure Data & Analytics PaaS Services (Azure Data Factory, Azure Data Lake, Azure SQL DW)

       5+ Experience with JSON

       5+ years hands-on experience working with SQL.

       5+ years experience with data modeling concepts and techniques.

       5+ years experience of hands-on with Informatica Power Center and IICS development

       Strong experience building data pipelines to bring together information from different source systems.

       Strong NoSQL experience with CosmosDB

       Experience working with Microsoft Power Platform (PowerBi, PowerApps, PowerAutomate) a plus

       Well versed in data management concepts, data lifecycle and methodologies.

       Must exhibit strong thought leadership.

       Skillful at applying business and technical skills to drive innovation and performance improvement.

       Excellent analytical, problem-solving, and decision-making skills, leveraging both logic and creativity.

       Excellent written and oral communication, as well as, good organizational and presentation skills.

       Demonstrated ability to handle multiple competing priorities in a dynamic environment.

       Demonstrated facilitation and meeting management skills.

       Demonstrated ability to understand the unique needs of the customer and translate to actionable results while delivering high quality outcomes.

       Ability to influence and motivate individuals and teams to drive mutually beneficial outcomes.

       Excellent interpersonal skills with the ability to build relationships within and between individuals and cross-functional teams.

       Must enjoy working in a team-oriented, collaborative environment as well as autonomously.

       High achievement orientation with a willingness to learn.

       Possess a solid overall understanding of technology concepts, trends, and capabilities.

       Exhibit a strong desire to understand the organization, its industry, and its strategies.

       Working knowledge of project management principles, a plus.

       Must exhibit strong customer service orientation.

       Must be willing to be on-call as needed.