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Part Time Data Engineering Jobs in Florida (NOW HIRING)

Vinik Sports Group

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related ...

Vinik Sports Group

Data Scientist Assistant

Tampa, FL

$15/hr

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related ...

AEG

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related ...

L3Harris Technologies

Engineering Aide

Orlando, FL · On-site

Orlando, Florida Job Schedule: Part-Time: 20 hours per week L3Harris is seeking a part-time ... data packages. * Assist production teams with inventory review, bill of material (BOM) tracking ...

Booz Allen Hamilton, Inc.

Data Scientist

Tampa, FL · On-site

$99K - $225K/yr

Experience with exploratory data analysis using programming languages, including SQL and Python ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Spectris

2026 Engineering Intern - FPGA

Pompano Beach, FL · On-site

$20 - $25/hr

High-speed data acquisition and signal conditioning * Process control solutions * High-performance ... Low-latency transaction processing Concurrent Real-Time is currently seeking a part-time Intern for ...

WSP

Electrical Engineering Intern - Summer 2026

Maitland, FL · On-site

$15.75 - $20.25/hr

Our Power and Energy is seeking a Part Time Electrical Engineering Intern - Summer 2026 to work out ... Learn basic principles of Utility Distribution Engineering. * Assist with data collection and ...

AECOM

Water Engineering Intern

Tampa, FL · On-site

$15.75 - $20.50/hr

AECOM is seeking a full-time or part-time Water Engineering Intern to be based in Tampa, FL . The ... Collect and analyze data, perform field work, undertake site inspections under the supervision of ...

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Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

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 cities in Florida are hiring for Part Time Data Engineering jobs? Cities in Florida with the most Part Time Data Engineering job openings:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Florida as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Data Scientist Assistant

Data Scientist Assistant

Vinik Sports Group

Tampa, FL • On-site

$15/hr

Part-time

Posted 11 hours ago

Job description

Compensation: $15 per hour
Tentative Start Date: September 1, 2026
Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week
Job Summary
The Part-Time Data Scientist Assistant supports the hockey analytics department by applying advanced data analysis to drive insights and inform decision-making. The position works closely with hockey data to execute assigned analytical initiatives, develop new projects, and translate complex findings into clear, actionable insights for both technical and non-technical audiences. As part of a collaborative, team-based environment, this role contributes to scalable, impactful solutions while supporting an innovative, growth-minded culture within the organization.
Essential Duties & Responsibilities
  • Work with hockey data to fulfill assigned analytical directives and contribute to ongoing projects
  • Design, develop, and execute new analytics projects that generate actionable insights
  • Analyze data using geometric, physical, and statistical concepts relevant to hockey performance
  • Interpret analytical results and clearly communicate findings to technical and non-technical stakeholders
  • Collaborate effectively within a team-based hockey analytics environment
  • Contribute to impactful, scalable solutions in a growth-minded and innovative culture
  • Other duties as assigned

Qualifications
  • Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related field
  • 2-3 years of experience writing modern Python code
  • Experience working with SQL databases
  • Familiarity with Git or other version control systems
  • Ability to perform geometric and physics-based analyses
  • Strong problem-solving skills with a demonstrated desire for continuous learning and professional development
  • Experience working in a collaborative, team-based environment
  • Strong ability to interpret data and communicate results effectively
  • Knowledge of statistics and probability theory preferred
  • Experience working with time-series data and/or skeletal or player-tracking data preferred
  • Familiarity with machine learning concepts and practical applications preferred
  • Experience with advanced statistical modeling techniques preferred
  • Prior experience working with sports or hockey-related data preferred

Working Conditions
  • Ability to work extended hours including late nights, holidays, and weekends as needed
  • This role is eligible for remote work

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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