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Part Time Data Analytics Engineer Jobs in Orlando, FL

Data Science Tutor

Orlando, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior Traffic Engineer

Orlando, FL · Hybrid

$97K - $134K/yr

STV is seeking an energetic and highly motivated Senior Traffic Engineer to provide leadership on ... Experience with data analysis and visualization tools such as Power BI or Tableau is a plus.

New

Prepare geometric analysis and calculations in support of designs and establish design criteria ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Prepare geometric analysis and calculations in support of designs and establish design criteria ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

... part time employees. Forbes Recognizes Orlando Health as a Best-In-State Employer * Forbes has ... Leverages data analytics to identify systemic risks and drive continuous improvement across the ...

Orlando, FL (In-Office) Type: Part-Time or Full-Time (Flexible with School Schedule if MBA Student ... Data analysis across markets, trades, and customers • Operational problem solving What You'll Be ...

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Part Time Data Analytics Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do part time data analytics engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for part time data analytics engineer 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 are the key skills and qualifications needed to thrive as a Part Time Data Analytics Engineer, and why are they important?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

What does a Part Time Data Analytics Engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

How does working as a part-time Data Analytics Engineer differ from a full-time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
What are the most commonly searched types of Data Analytics Engineer jobs in Orlando, FL? The most popular types of Data Analytics Engineer jobs in Orlando, FL are:
What are popular job titles related to Part Time Data Analytics Engineer jobs in Orlando, FL? For Part Time Data Analytics Engineer jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analytics Engineer jobs in Orlando, FL look for? The top searched job categories for Part Time Data Analytics Engineer jobs in Orlando, FL are:

Principal Data Scientist - Immunology - (2 positions) (Titusville)

Johnson & Johnson

Titusville, FL • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Johnson & Johnson rating

8.2

Company rating: 8.2 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

31st of 86 rated pharmaceutical


Job description

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Science

Job Category: Scientific/Technology

All Job Posting Locations: Cambridge, MA; Raritan, NJ; San Diego, CA; Spring House, PA; Titusville, NJ

Johnson & Johnson Innovative Medicine is currently seeking a Principal Data Scientist - Immunology (2 openings) to join our Immunology R&D Data Science & Digital Health team (DSDH). This position will be located on site at one of our offices...

Johnson & Jonn & Jonn Innovative Medicine is recruiting for a Principal Data Scientist (Knowledge Graph Engineer) - Immunology, who will play a pivotal role to standardize and connect biomedical and clinical data. You will be a hands‑on technical contributor with depth in semantic technologies, ontology, and graph data modeling, plus strong familiarity with the life sciences domain.

Primary Responsibilities
  • Be a key contributor to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability, focusing on Immunology R&D data.
  • Apply graph-based data modeling for efficient Immunology R&D organization, integration and retrieval to ensure system flexibility and long-term maintainability.
  • Work with a larger community of Data Scientists, Clinical Scientists, and Discovery Scientists to standardize, curate and create AI‑Ready data sets.
  • Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using resource description framework (RDF) standards.
  • Work with SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources.
  • Extend and curate Immunology R&D‑relevant ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms, cross‑references, and provenance.
  • Partner with cross‑functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools.
  • Work with Data Science & Digital Health colleagues, IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations specifically geared toward Immunology R&D needs and applications.
  • Draft and manage documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph.
Preferred Qualifications
  • Desired Ph.D. or master’s degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies for biomedical application.
  • 5+ years professional experience in health informatics.
  • Demonstrated experience in large‑scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration.
  • Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs).
  • Proficiency in semantic web technologies (e.g. SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune).
  • Proven work with complex biomedical datasets (e.g. clinical, genomics, proteomics)
  • Proficiency in various data storage solutions (SQL, key‑value, column, document, graph stores) and data modeling techniques (semantic data, ontologies, taxonomies).
  • Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity).
  • Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
  • Ability to manage numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
  • Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Location: Cambridge, MA; Raritan, NJ; San Diego, CA; Spring House, PA; Titusville, NJ. This position will be located on site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (NO fully remote option available). Occasional travel for cross‑functional workshops, design sessions, and team meetings may be required.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance‑based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long‑term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

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