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Data Engineer Jobs in Jupiter, FL (NOW HIRING)

Data Engineer

West Palm Beach, FL ยท 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 ...

Data Engineer

West Palm Beach, FL ยท On-site

$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 ...

Data Engineer

FL ยท On-site

$64K - $129K/yr

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

Azure Data Engineer

West Palm Beach, FL ยท On-site

$100K - $110K/yr

Need a seasoned Database Engineer (Not DBA). Someone with Data Engineer exp or Data Science or Someone who understands the Data very well. Also someone who is a lead guy and can coordinate between ...

Azure Data Engineer

West Palm Beach, FL ยท On-site

$100K - $110K/yr

Need a seasoned Database Engineer (Not DBA). Someone with Data Engineer exp or Data Science or Someone who understands the Data very well. Also someone who is a lead guy and can coordinate between ...

Azure Data Engineer

West Palm Beach, FL ยท On-site

$100K - $110K/yr

Training & development Need a seasoned Database Engineer (Not DBA). Someone with Data Engineer exp or Data Science or Someone who understands the Data very well. Also someone who is a lead guy and ...

Lead Data Engineer

West Palm Beach, FL ยท On-site

$99K - $130K/yr

Lead Data Engineer Location: West Palm Beach, FL (5 Days Onsite) Job Summary We are seeking an experienced Lead Data Engineer to join our team in West Palm Beach, FL. This is a hands-on leadership ...

Azure Data Engineer

West Palm Beach, FL ยท On-site

$100K - $110K/yr

Training & development Need a seasoned Database Engineer (Not DBA). Someone with Data Engineer exp or Data Science or Someone who understands the Data very well. Also someone who is a lead guy and ...

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville, Indiana, United States of America, Palm Beach Gardens, Florida, United States of America, Raritan, New ...

New

Sr. Data Analyst

Juno Beach, FL ยท On-site

$84K - $106K/yr

Local candidates to FL are preferred because 2nd round will be in person interview Seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data solutions, including ...

Lead Database Engineer

West Palm Beach, FL ยท On-site

$100K - $110K/yr

GC/US Citizens Only on W2/1099 (No C2C) Need a seasoned Database Engineer (Not DBA). Someone with Data Engineer exp or Data Science or Someone who understands the Data very well. Also someone who is ...

Sr. Data Analyst

Juno Beach, FL ยท On-site

$84K - $106K/yr

Juno Beach, Florida Role Overview We are seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data solutions. This role involves creating ETL/ELT pipelines ...

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Data Engineer information

See Jupiter, FL salary details

$43.5K

$126.8K

$173.6K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Jupiter, FL is $126,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 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 Jupiter, FL?

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

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,840 per year, or $61 per hour.

Data Engineer

Initiate Government Solutions

North Palm Beach, FL โ€ข On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Description:

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems.


Our vision is to be a health IT trendsetter, continuing to solve the nation’s most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions. 


Our mission is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service.


IGS is currently recruiting a remote Data Engineer to support our work with a federal customer.


Assignment of Work and Travel:

This is a remote access assignment. The Candidate will work remotely daily and will remotely access customer systems and therein use approved customer provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested.


The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, ingestion frameworks, and cloud-native data solutions that support advanced analytics, reporting, AI/ML initiatives, and operational decision-making. The ideal candidate will possess hands-on experience with Azure Data Factory (ADF), Azure Databricks, and Apache Kafka, along with expertise in modern data engineering methodologies, DevSecOps practices, and cloud-based data platforms.


Responsibilities and Duties (Included but not limited to):

  • Design, develop, and maintain enterprise-scale data ingestion and transformation pipelines using Azure Data Factory, Databricks, and Apache Kafka.
  • Build and optimize ELT/ETL processes for data sources.
  • Develop scalable data solutions supporting analytics, reporting, AI/ML, and operational business use cases.
  • Implement data ingestion frameworks for batch, streaming, and real-time data processing workloads.
  • Design and maintain data models, semantic layers, conformed dimensions, and consumption-ready datasets.
  • Support the modernization and migration of enterprise data assets into cloud-based Lakehouse architectures.
  • Develop and optimize data solutions leveraging Azure cloud services and distributed data processing frameworks.
  • Integrate data assets across enterprise systems while maintaining data lineage and governance standards.
  • Implement automated data quality validation, reconciliation, and monitoring processes.
  • Establish data freshness, accuracy, and completeness controls aligned with platform governance requirements.
  • Develop Infrastructure as Code (IaC) and automated deployment pipelines for data engineering solutions.
  • Implement CI/CD processes for data pipelines and platform services.
  • Other duties as assigned
Requirements:
  • 5+ years of experience developing enterprise data engineering solutions. 
  • Hands-on experience with: Azure Data Factory (ADF),Azure Databricks, Apache Kafka, Python and/or PySpark, SQL and relational database technologies, Azure cloud services.
  • Experience building and maintaining large-scale ETL/ELT pipelines. 
  • Strong understanding of data warehousing, Lakehouse architecture, and distributed data processing. 
  • Experience implementing data quality, monitoring, and operational support processes. 
  • Experience working with source control tools such as Git and Azure DevOps. 
  • Strong knowledge of Agile software development methodologies.
  • Ability to obtain and maintain a Public Trust 
  • Ability to work in the United States without sponsorship 

Preferred Qualifications and Core Competencies:

  • Azure Data Engineer Associate Certification or equivalent cloud certification highly desired
  • Strong analytical, troubleshooting, and problem-solving skills. 
  • Excellent verbal and written communication skills. 
  • Ability to work independently and collaboratively within cross-functional Agile teams. 
  • Experience supporting large-scale cloud modernization and digital transformation initiatives.
  • Active Public Trust 

Successful IGS employees embody the following Core Values:

  • Integrity, Honesty, and Ethics: We conduct our business with the highest level of ethics. Doing things like being accountable for mistakes, accepting helpful criticism, and following through on commitments to ourselves, each other, and our customers. 
  • Empathy, Emotional Intelligence: How we interact with others including peers, colleagues, stakeholders, and customers’ matters. We take collective responsibility to create an environment where colleagues and customers feel valued, included, and respected. We work within a diverse, integrated, and collaborative team to drive towards accomplishing the larger mission. We conscientiously and meticulously learn about our customers’ and end-users’ business drivers and challenges to ensure solutions meet not only technical needs but also support their mission.
  • Strong Work Ethic (Reliability, Dedication, Productivity): We are driven by a strong, self-motivated, and results-driven work ethic. We are reliable, accountable, proactive, and tenacious and will do what it takes to get the job done. 
  • Life-Long Learner (Curious, Perspective, Goal Oriented): We challenge ourselves to continually learn and improve ourselves. We strive to be an expert in our field, continuously honing our craft, and finding solutions where others see problems.  

Compensation: There are a host of factors that can influence final salary, including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.


Benefits: Initiate Government Solutions offers competitive compensation and a robust benefits package, including comprehensive medical, dental, and vision care, matching 401K and profit sharing, paid time off, training time for personal development, flexible spending accounts, employer-paid life insurance, employer-paid short and long term disability coverage, an education assistance program with potential merit increases for obtaining a work-related certification, employee recognition, and referral programs, spot bonuses, and other benefits that help provide financial protection for the employee and their family.


Initiate Government Solutions participates in the Electronic Employment Verification Program.