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Part Time Data Engineering Jobs in Orlando, FL (NOW HIRING)

Margaritaville at Sea

Data Analyst

Orlando, FL

Partner with engineering and product teams to resolve data issues and enforce standards ... Part-time with benefits employees receive time off based on the number of hours they work. Other ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Orlando, FL

Part Time Data Engineering information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do part time data engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time data engineering in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in Orlando, FL?

The most popular types of Data Engineering jobs in Orlando, FL are:

What are popular job titles related to Part Time Data Engineering jobs in Orlando, FL?

For Part Time Data Engineering jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Orlando, FL look for?

The top searched job categories for Part Time Data Engineering jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Part Time Data Engineering jobs?

Cities near Orlando, FL 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 Orlando, FL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Data Engineering Lead

Margaritaville at Sea

Orlando, FL

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Responsibilities:

The Data Engineering Lead will design, build, and scale our enterprise data pipelines and platforms. This role is ideal for someone who thrives in a hands-on technical environment and is passionate about creating reliable, accessible, and high-performance data systems. As a leader in our data organization, you will set technical standards, guide architectural decisions, and ensure our data infrastructure supports both analytics and operational needs across the business. 

Essential Functions: 

  • Design and develop scalable data pipelines: The Data Engineering Lead will be responsible for building and maintaining robust data pipelines that support both real-time and batch processing. These pipelines will serve as the backbone of the company’s data infrastructure, enabling seamless data flow across systems and ensuring that analytics and operational teams have access to timely, accurate information. 

  • Lead the architecture and implementation of the enterprise data platform: This role involves setting the technical direction for the data platform, including selecting appropriate technologies, designing scalable architecture, and overseeing implementation. The Data Engineering Lead will ensure the platform is secure, high-performing, and adaptable to evolving business needs. 

  • Establish and enforce technical standards for data engineering practices: The successful candidate will define and uphold best practices for coding, testing, documentation, and deployment within the data engineering team. By creating a strong foundation of standards, this role will promote consistency, maintainability, and quality across all data-related projects. 

  • Ensure data reliability and accessibility: A key function of this role is to implement monitoring and alerting systems that proactively identify data issues. The Data Engineering Lead will also develop frameworks for data quality and governance, ensuring that stakeholders can trust and easily access the data they need. 

  • Collaborate with analytics, product, and engineering teams: This role requires close partnership with cross-functional teams to understand their data needs and deliver tailored solutions. The Data Engineering Lead will translate business requirements into technical specifications and ensure that data products support strategic decision-making and operational efficiency. 

Qualifications: 

  • Minimum of 7 years of experience in data engineering, with at least 2 years in a leadership or team lead role. 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (preferred). 

Experience: 

  • Proven expertise in SQL and Python for data manipulation and pipeline development. 

  • Hands-on experience with ETL/ELT tools and cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure. 

  • Strong understanding of data modeling, API development, and integration patterns for scalable data architecture. 

  • Familiarity with CI/CD pipelines, version control systems (e.g., Git), and workflow automation for data engineering processes. 

Knowledge, Skills, and Abilities: 

  • Exceptional problem-solving skills with a keen attention to detail. 

  • Ability to lead and mentor engineering teams, fostering collaboration and technical excellence. 

  • Strong communication skills to effectively work across cross-functional teams and translate business needs into technical solutions. 

  • Capacity to manage multiple priorities in a fast-paced environment while maintaining high standards of quality and reliability. 

In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. 

Physical Demands: Must be able to remain in a stationary position at a desk and/or computer for extended periods of time. 

Travel:No travel 

Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential. 

This position is classified as “in-person,” which means the physical office in Orlando. 

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience. 

At Margaritaville at Sea, your total rewards package is much more than your base salary. We  provide comprehensive and innovative benefits to meet your needs, including: 

Health Benefits: 

  • Cost-effective medical, dental and vision plans 

  • Employee Assistance Program and other mental health resources 

  • Additional programs include company paid term life insurance and disability coverage 

Financial Benefits: 

  • 401(k) plan that includes a company match 

Paid Time Off 

  • Holidays – All full-time and part-time with benefits employees receive days off for 10 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion. 

  • Vacation Time – All full-time employees at the below the Director level start with 15 days/year; Director and above level have Discretionary Time Off, which for Directors is generally 15 days and for VPs and above 21 days. Part-time with benefits employees receive time off based on the number of hours they work.  

Other Benefits 

  • Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends 

Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a fast growing company that offers opportunities for advancement. 

In addition to other duties/functions, this position requires full commitment and support for promoting an ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. 

Margaritaville at Sea is an equal employment opportunity employer and all qualified applicants will receive consideration for employment on the basis of sex, race, color, sex, sexual orientation,  gender identity, genetic information, national origin, religion, age, protected veteran status, disability status, marital status or any other classification protected by applicable local, state, federal, and/or international law. 

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