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Junior Data Engineering Jobs in Florida (NOW HIRING)

Agile Defense

Data Operations Technical Lead

Tampa, FL · On-site

$100 - $130/hr

Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment. Education and Background Typically has a ...

NCL Bahamas Ltd.

Cloud Data Engineer

Miami, FL · On-site

$90 - $120/hr

This role focuses on the development and implementation of data engineering solutions that enhance ... Mentor and train junior data engineers and provide technical guidance to cross‑functional teams.

New

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... junior data engineers through technical guidance and knowledge sharing • Contribute to ... Required : • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

Cross-functional collaboration with product and engineering teams * Technical mentoring for junior data engineers * Analytical thinking for complex data problems * Stakeholder communication for data ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

Cross-functional collaboration with product and engineering teams * Technical mentoring for junior data engineers * Analytical thinking for complex data problems * Stakeholder communication for data ...

Univision

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineering will work closely with other teams, such as data science and product ... Mentor and support junior data engineers through technical guidance and knowledge sharing

VHB

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Provide technical leadership and mentorship to junior data engineers and architects and participate in architectural reviews and system improvement initiatives. Skills and Attributes * Strong ...

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Junior Data Engineering information

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Florida?

The most popular types of Data Engineering jobs in Florida are:

What are popular job titles related to Junior Data Engineering jobs in Florida?

For Junior Data Engineering jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Florida look for?

The top searched job categories for Junior Data Engineering jobs in Florida are:

What cities in Florida are hiring for Junior Data Engineering jobs?

Cities in Florida with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Operations Technical Lead

Agile Defense

Tampa, FL • On-site

$100 - $130/hr

Other

Re-posted 21 days ago

Job description

Job Details

Requisition #: 1700

Job Title: Data Operations Technical Lead

Location: MacDill AFB, FL

Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description
  • Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems.
  • Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting.
  • Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
  • Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access.
  • Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure.
  • Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.
Education and Background

Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (master's degree preferred) and 5+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines, or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience

5+ years

Required Skills
  • The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions.
  • Have active TS/SCI clearance
  • Minimum of 5 years’ experience managing digital projects in support of SOF Enterprise customers
Preferred Skills
  • Three years experience managing SOF agile development processes
  • Three years experience managing SOF Data Operations processes and procedures
  • Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams
Working Conditions

General Office Environment

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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