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Junior Data Engineer Jobs in Jupiter, FL (NOW HIRING)

Dometic

Junior Buyer

Stuart, FL · On-site

$18.75 - $24.25/hr

They will also be responsible for data management and KPI tracking. Your Main Responsibilities ... Degree or certificate in business, supply chain management, engineering, project management, or a ...

Qualus

Senior Engineer - Distribution

Palm Beach Gardens, FL · On-site +1

$98K - $135K/yr

The successful candidate will perform QA/QC reviews, mentor junior engineers and designers, and ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Qualus

Senior Engineer - Distribution

Palm Beach Gardens, FL · On-site +1

$98K - $135K/yr

The successful candidate will perform QA/QC reviews, mentor junior engineers and designers, and ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Kratos Defense

Senior Design Engineer

Jupiter, FL

Analyze test data. * Develop and validate design requirements. * May lead and participate in design ... May mentor junior engineers. * Proficiency with CAD software and analysis tools, specifically ...

Kratos Defense

Senior Design Engineer

Jupiter, FL · On-site

Analyze test data. * Develop and validate design requirements. * May lead and participate in design ... May mentor junior engineers. * Proficiency with CAD software and analysis tools, specifically ...

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All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in Jupiter, FL

Junior Data Engineer information

See Jupiter, FL salary details

$32.8K

$70.2K

$107.1K

How much do junior data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior data engineer in Jupiter, FL is $70,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $78,200.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

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

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

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

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

Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $70,207 per year, or $33.8 per hour.

Senior Geospatial Data Scientist/Geospatial AI/ML Scientist

VDart, Inc.

Juno Beach, FL • On-site

Other

Posted 17 days ago

Job description

The Senior Data Scientist Geospatial is a technical leader responsible for designing, developing, and delivering advanced data science, spatial analytics, and machine learning solutions using geospatial data. This role leads complex analytics initiatives, develops scalable analytical applications and spatial data products, establishes technical standards, and mentors junior data scientists and technical team members.

The position partners closely with GIS teams, business stakeholders, and technology leaders to translate complex geospatial and business challenges into scalable, production-ready solutions that deliver measurable business impact.

Key Responsibilities
  • Lead end-to-end data science and geospatial analytics initiatives, from problem definition and data exploration through model development, deployment, and monitoring.
  • Design and develop predictive, prescriptive, and spatial analytics models using large-scale geospatial and enterprise datasets.
  • Architect and deliver scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities.
  • Establish technical standards, development frameworks, coding practices, and architectural patterns for enterprise geospatial solutions.
  • Design and oversee spatial data pipelines, APIs, automation workflows, and geoprocessing frameworks.
  • Develop production-grade analytical tools and applications using Python and modern data science technologies.
  • Integrate GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Engineer and optimize features, analytical workflows, and machine learning models for performance, scalability, and reliability.
  • Implement model validation, testing, monitoring, and governance frameworks.
  • Develop automated spatial analysis workflows and reusable geoprocessing components.
  • Collaborate with GIS professionals, data engineers, software engineers, and business leaders to deliver enterprise-level solutions.
  • Translate complex analytical and geospatial findings into clear, actionable recommendations for technical and non-technical stakeholders.
  • Provide technical leadership and mentorship to junior and mid-level data scientists.
  • Evaluate emerging GIS, AI, ML, and data science technologies and recommend solutions aligned with business objectives.
  • Apply strong business acumen and independent problem-solving skills to address complex analytical challenges.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or another quantitative discipline; advanced degree preferred.
  • 6 10 years of professional experience in data science, analytics, machine learning, or a closely related field.
  • 6 8+ years of relevant experience for senior-level geospatial data science responsibilities.
  • Strong recent experience applying data science techniques to GIS/geospatial problems, preferably within the last 4 years.
  • Strong proficiency in Python or R, with demonstrated experience developing production-ready analytical workflows.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Strong knowledge of statistical inference, machine learning, experimentation design, and predictive modeling.
  • Hands-on experience developing and deploying production-grade models, analytical applications, or data products.
  • Extensive experience with spatial analytics and geospatial data at scale.
  • Strong experience developing enterprise-grade GIS tools, applications, pipelines, and automation workflows.
  • Demonstrated ability to independently lead complex technical initiatives from concept through production.
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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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