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Part Time Data Engineering Jobs in Connecticut (NOW HIRING)

... items), data loading, and authority file maintenance. All Library positions serve a diverse ... ongoing Library programming. PRIMARY FUNCTIONS This is part time professional work at the ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Engineering, Sustainability, Janitorial & Industrial Cleaning, Laboratory Support and Workplace ...

The Quality Intern supports product assurance, documentation, data analysis, and continuous ... Engineering, or related technical program. Position Requirements Shift Days Full-Time/Part-Time ...

DISHWASHER (FULL AND PART TIME)

Lakeville, CT · On-site

$13.25 - $17/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

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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.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

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 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 engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Connecticut? The most popular types of Data Engineering jobs in Connecticut are:
Part-Time Faculty: Industrial Engineering and General Engineering - Spring 2026

Part-Time Faculty: Industrial Engineering and General Engineering - Spring 2026

Quinnipiac University

Hamden, CT • On-site

$69K - $94K/yr

Part-time

Posted 7 days ago


Job description

Part-Time Faculty: Industrial Engineering and General Engineering - Spring 2026
Job Number: 496806
Type: Part-time
Campus: Mount Carmel - Hamden, CT
Categories: Faculty
Overview:
The School of Computing and Engineering at Quinnipiac University seeks highly qualified applicants who are committed to excellence in teaching for part-time faculty openings in Industrial Engineering for the Spring 2026 semester and beyond. The school is experiencing steady enrollment growth, and both needs candidates immediately and desires to develop and maintain a pool of candidates should additional part-time openings arise.
About the School/Program:The School of Computing and Engineering became the ninth school at Quinnipiac University on July 1, 2016 (then the School of Engineering). The school offers degrees in civil, industrial, mechanical and software engineering, and computer science. Housed in the newly renovated Communications, Computing and Engineering building, the school features newly constructed and outfitted laboratories, and classrooms. Dedicated to providing a first-rate engineering learning experience for our students, the school focuses on high-quality instruction, and offers hands-on training, applied learning opportunities and meaningful student-faculty relationships.
About Quinnipiac:
Quinnipiac University is a private, coeducational institution located 90 minutes north of New York City and two hours from Boston. The university currently has an enrollment of 9,700 students in more than 100-degree programs through its Schools of Business, Communications, Computing & Engineering, Education, Health Sciences, Law, Medicine, Nursing and the College of Arts & Sciences. Our 20 Division I teams have achieved remarkable success, boasting national and conference titles - including a 2023 NCAA national championship win in men's ice hockey, a trip to the Sweet 16 for our women's basketball team and NCAA Tournament appearances by many of our programs. The Quinnipiac University Poll is nationally recognized as a leader in public opinion research, and the university is consistently recognized by U.S. News & World Report and Princeton Review. The Wall Street Journal ranked Quinnipiac #51 among the best colleges in the nation, and second in Connecticut, for our exceptional graduation rate, salary impact, learning facilities, career preparation and learning opportunities.
The university is in the midst of program expansion and renewal for both traditional and adult learners, the development of innovative strategic partnerships, and recently opened South Quad with three state-of-the-art buildings.
As Quinnipiac grows, the university remains guided by the core values that define our community and shapes the experience of every student and employee.
  • We are fiercely committed to ensuring every Bobcat thrives. We are a lifelong partner for every learner.
  • We passionately care about our community. Everyone should feel welcome and valued.
  • We boldly shape our university's future. We will forge a path of impact together.

These values are the foundation of who we are and reflect the Quinnipiac spirit found across our campuses. For more information, please visit qu.edu. Connect with Quinnipiac on Facebook, Instagram, YouTube, TikTok and X.
Responsibilities:
The Spring 2026 semester openings are in day and early evening on-ground sections (some flexibility regarding offering time is possible) for the following courses:
  • ENR 210 - Engineering Economics and Project Management - This course focuses on the introduction to the concepts of economics/finance/costing and explains how these affect the functioning of engineering projects and contribute to decision making in engineering operations. A portion of the course covers the concepts of project management, team building and leading teams that are used throughout the program and in professional practice.
  • IER 250 - Data Analytics - This course presents basic techniques of decision-making concentrating on both theoretical and modeling aspects. This course integrates the art and science of decision making for single and multiple objective environments to support the decision-making phase of the Systems Decision Process (SDP). The focus of the course is modeling problem structure, uncertainty, risk and preference in the context of decision making.

Additional openings for the Fall 2026 semester and beyond include multiple topics in Industrial Engineering including Human Factors/Ergonomics, Statistical Quality Control, and others.
Additional course and curriculum information may be found at:
https://catalog.qu.edu/engineering/engineering/
Education Requirements:
  • A minimum of a Master's degree in Engineering or a related field is preferred, although consideration will be given to excellent candidates who possess practical experience or professional licensure.

Qualifications:
  • Teaching experience at the university level is preferred.
  • Proven ability to collaborate effectively with individuals from varied backgrounds.

Special Instructions to Applicants:
Quinnipiac University is considering only those applicants who have valid authorization to work in the United States. Quinnipiac University does not sponsor employment based visas for this position.
TO APPLY:
Applications must be submitted electronically and include a cover letter indicating your interest and qualification for the position along with your teaching availability in terms of days of the week and times for the semester, curriculum vitae or resume and the names and contact information for three references on the application form. Reference letters will only be required at the interview stage.
Consideration of candidates will begin immediately and may continue as long as teaching sections remain open.
Quinnipiac University is an equal opportunity employer and encourages applications from individuals of all backgrounds and experiences. We are committed to fostering an inclusive and respectful community.
Advertised: October 23, 2025 Eastern Daylight Time
Applications close:
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