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Data Engineer Jobs in Boca Raton, FL (NOW HIRING)

Cloud Data Engineer

Dania Beach, FL · On-site

$104K - $125K/yr

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

Senior Data Engineer

FL · On-site +1

$102K - $139K/yr

Role Summary The Senior Data Engineer enables the delivery of modern, scalable data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on ...

Data Engineer

Plantation, FL · On-site

$113K - $136K/yr

Required Bachelor's degree in IT, Business, Engineering, or related field, or equivalent experience. 24 years in IT operations, service management, or process analysis role. Experience with ITIL ...

Data Engineer

Plantation, FL · On-site

$113K - $136K/yr

Required Bachelor's degree in IT, Business, Engineering, or related field, or equivalent experience. 2-4 years in IT operations, service management, or process analysis role. Experience with ITIL ...

Data Engineer

Plantation, FL · On-site

$113K - $136K/yr

Required • Bachelor's degree in IT, Business, Engineering, or related field, or equivalent experience. • 2-4 years in IT operations, service management, or process analysis role. • Experience ...

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Senior Data Engineer (Modernizing Medicine, Inc.; Boca Raton, FL): Develop and maintain data pipelines while achieving high reliability and efficiency. Guide data infrastructure design and develop ...

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

Role Overview We are looking for a skilled Big Data Engineer with strong experience on Google Cloud Platform (GCP) to design, build, and optimize large-scale data processing systems. The ideal ...

Senior Data Engineer

Miami, FL · On-site

$99K - $141K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake ...

Senior Data Engineer

Miami, FL · On-site

$99K - $141K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake ...

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Job Summary GeniusRx is looking for an experienced data engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be ...

Google / CCaaS Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Google / CCaaS Data Engineer Location: Sunrise, FL (Onsite) Type: Full-time role with TCS (TATA Consultancy Services) · 8+ years of commercial software development experience using Java and/or ...

Senior Data Engineer

West Palm Beach, FL · Remote

$102K - $139K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

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Showing results 1-20

Data Engineer information

See Boca Raton, FL salary details

$42.1K

$122.8K

$168K

How much do data engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data engineer in Boca Raton, FL is $122,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,100.00 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Boca Raton, FL? The most popular types of Data Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Data Engineer jobs in Boca Raton, FL? For Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Data Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Engineer jobs? Cities near Boca Raton, FL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Boca Raton, FL as of June 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $122,750 per year, or $59 per hour.
Cloud Data Engineer

Cloud Data Engineer

SynergisticIT

Dania Beach, FL • On-site

$104K - $125K/yr

Other

Posted 11 days ago


Job description

Since 2010 SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.
The Tech Job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs.
The Job market is Hyper Competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions.
Please see the below links to know more about Synergisticit and some useful tips
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
We regularly interact with the Top Tech companies to give our candidates a competitive advantage.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
Who Should Apply? Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We need Data Science/Machine learning/Data Analyst and Java Full stack candidates
Preferred SKILLS For Java /Full stack/Devops Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience
For data Science/Data Analyst/AI/Machine learning Positions
Preferred SKILLS
ssociate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools
Candidates lacking technical skills can research our other programs which can assist in landing a Job
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates
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