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Data Engineer Jobs in Margate, FL (NOW HIRING)

NationsBenefits, LLC

Data Engineer II

Plantation, FL · On-site

The Technology & Data team is seeking an experienced Data Engineer II to support the design, development, and optimization of enterprise data solutions within a healthcare environment. This role is ...

Programmers.io

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 ...

GeniusRx

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 ...

BankUnited

Cloud Data Engineer II

Miami Lakes, FL · On-site

$50.50 - $67.50/hr

The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions ...

1 point system

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

* Seeking a Senior Data Engineer to support and scale critical AI‑driven data initiatives powering customer‑facing, always‑on platforms. * This is a 100% hands‑on, individual contributor role ...

Prophecy Technologies

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Strong skills in ETL and Data Modeling. * Knowledge of Python, AI/ML, Tensorflow, LLM, GenAI. * Experience with Agile development, CI/CD, DevOps, and Observability. * Hands-on experience with Kafka ...

Paramount

Senior Data Engineer

Fort Lauderdale, FL

$110K - $165K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and standard methodologies for data collection, pipelines, usage, and infrastructure. We are looking for ...

1 point system

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Build and optimize micro‑batch data pipelines with refresh intervals of ~1-2 minutes * Ensure pipelines meet strict performance SLAs, including sub‑two‑minute refresh KPIs * Write and optimize ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Margate, FL

Data Engineer information

See Margate, FL salary details

$40.2K

$117.3K

$160.5K

How much do data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer in Margate, FL is $117,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $124,300.00 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.
More about Data Engineer jobs

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Margate, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,290 per year, or $56.4 per hour.

Data Engineer II

NationsBenefits, LLC

Plantation, FL • On-site

Full-time

Medical

Re-posted 3 days ago

NationsBenefits rating

6.6

Company rating: 6.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

317th of 496 rated business services

Job description

NationsBenefits is recognized as one of the fastest-growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.

Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.

We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.
Location: Plantation, Florida (Onsite)
Role:
The Technology & Data team is seeking an experienced Data Engineer II to support the design, development, and optimization of enterprise data solutions within a healthcare environment. This role is responsible for building scalable data pipelines, integrating data across multiple platforms, and delivering high-quality data assets that support analytics, reporting, and business decision-making. The ideal candidate will have strong hands-on experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and healthcare data.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and SQL technologies.
  • Build and optimize data ingestion, transformation, and integration processes across healthcare systems and enterprise data sources.
  • Develop and support data warehouses, data marts, and analytical data models.
  • Create, optimize, and maintain complex SQL queries, stored procedures, views, functions, and database objects.
  • Develop and support SSIS packages and data integration workflows.
  • Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large datasets.
  • Collaborate with business stakeholders, analysts, architects, and application teams to deliver effective data solutions.
  • Monitor data quality and resolve performance bottlenecks and production issues.
  • Support HIPAA compliance, data governance, and data security initiatives.
  • Develop and maintain technical documentation and data mappings.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Minimum of 3 years of experience in Data Engineering, Data Warehousing, or a related technical role.
  • Strong hands-on experience with Databricks and Apache Spark.
  • Advanced SQL development skills, including query optimization and performance tuning.
  • Strong experience with Microsoft SQL Server, including stored procedures, indexing, and database performance tuning.
  • Experience developing and supporting SSIS (SQL Server Integration Services) packages.
  • Experience with PL/SQL development.
  • Experience building and maintaining ETL/ELT pipelines and data integration solutions.
  • Healthcare industry experience working with claims, provider, member, clinical, or operational healthcare data.
  • Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications:

  • Experience with Python and PySpark.
  • Knowledge of Delta Lake and Lakehouse architecture.
  • Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and CPT.
  • Experience with Git and CI/CD deployment practices.
  • Databricks certification preferred.

Technical Skills:

  • Databricks
  • Apache Spark
  • Advanced SQL
  • Microsoft SQL Server
  • SSIS
  • PL/SQL
  • ETL/ELT Development
  • Data Warehousing
  • Data Modeling
  • Healthcare Data Management
  • Python
  • PySpark


NationsBenefits is an Equal Opportunity Employer.

Employment Type: FULL_TIME

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