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Temporary Data Engineer Jobs in Connecticut (NOW HIRING)

Data & AI Integrations Engineer

Hartford, CT · On-site

$115K - $138K/yr

Posting Details Position Information Title Data & AI Integrations Engineer Department LITS Regular or Temporary Regular Hours Per Week 40 FLSA Determination Exempt Weeks Per Year 52 Open Date 08/04 ...

Employ hands-on approach to data collection, analysis, recommendations of opportunities, and ... This temporary process engineer position will be eligible for our base medical benefits package ...

Employ hands-on approach to data collection, analysis, recommendations of opportunities, and ... This temporary process engineer position will be eligible for our base medical benefits package ...

Entering technical data into forms and systems / retrieving data accurately. * Prior roles w ... FT Temporary: Limited Benefits include> Medical, Dental & Vision Quest Global is An Equal ...

Entering technical data into forms and systems / retrieving data accurately. * Prior roles w ... FT Temporary: Limited Benefits include> Medical, Dental & Vision Quest Global is An Equal ...

Quality Engineer - Temp

Enfield, CT · On-site

$26 - $36/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... Entering technical data into forms and systems / retrieving data accurately. * Prior roles w ...

Using data-driven approaches and lean methodologies, the Manufacturing Engineer identifies ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Staff Electrical Engineer

Danbury, CT · On-site +1

$150K - $162K/yr

Experience with hydrogen, electrolysis, fuel cells, data centers, temporary microgrids, modular ... Mentor junior engineers and support technical development across the electrical engineering team.

Staff Electrical Engineer

Danbury, CT · On-site

$150K - $162K/yr

Overview We are seeking a hands-on Lead Electrical Engineer to own the electrical design ... Experience with hydrogen, electrolysis, fuel cells, data centers, temporary microgrids, modular ...

T is actively seeking AI Engineer for an immediate contract engagement with our government client ... temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User ...

Senior Software Engineer

Bloomfield, CT · On-site

$122K - $161K/yr

Exposure to ETL workflows or large data migration initiatives. * Knowledge of CSS, HTML5, and ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Operations Engineer

Greenwich, CT · On-site

$95K - $119K/yr

Assures and attests to the reliability of the compliance data generated at the treatment plants ... May assume temporary responsibility of an individual work group or the department, when required ...

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Showing results 1-20

Temporary Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do temporary data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for temporary data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Temporary Data Engineer?

As a Temporary Data Engineer, your day-to-day work often involves designing and maintaining data pipelines, cleaning and validating data, and implementing ETL processes to support business analytics or project objectives. You'll collaborate with data scientists, analysts, and other engineers to ensure data accuracy and system reliability, while troubleshooting issues or optimizing workflows as needs arise. Since this is a temporary role, you may also take on specialized short-term projects or support urgent business initiatives where fast, high-quality results are essential. The work environment is usually fast-paced, making adaptability and teamwork especially important for success.

What is a Temporary Data Engineer job?

A Temporary Data Engineer is a short-term role responsible for designing, building, and maintaining data pipelines and infrastructure. These professionals help organizations collect, store, and process data efficiently, often working on specific projects or to support peak workloads. Temporary Data Engineers typically use SQL, Python, and cloud platforms to manage data workflows. The role may last for weeks or months, depending on the company's needs.

What are the key skills and qualifications needed to thrive in the Temporary Data Engineer position, and why are they important?

To thrive as a Temporary Data Engineer, you need a solid grasp of data modeling, ETL processes, and SQL or other database languages, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS or Azure, experience with big data frameworks such as Apache Spark, and possibly certifications like Google Professional Data Engineer are valuable. Strong problem-solving skills, the ability to quickly adapt to new environments, and effective communication are important soft skills in this role. These abilities are crucial because Temporary Data Engineers must rapidly contribute to projects, ensure data systems run smoothly, and collaborate efficiently during short-term assignments.

What are the most commonly searched types of Data Engineer jobs in Connecticut? The most popular types of Data Engineer jobs in Connecticut are:
What are popular job titles related to Temporary Data Engineer jobs in Connecticut? For Temporary Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Temporary Data Engineer jobs in Connecticut look for? The top searched job categories for Temporary Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Temporary Data Engineer jobs? Cities in Connecticut with the most Temporary Data Engineer job openings:

Data & AI Integrations Engineer

Trinity College

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 23 hours ago


Job description

Posting Details
Position Information
Title
Data & AI Integrations Engineer
Department
LITS
Regular or Temporary
Regular
Hours Per Week
40
FLSA Determination
Exempt
Weeks Per Year
52
Open Date
08/04/2025
Open Until Filled
Yes
Full or Part Time
Full Time
Position Summary
Trinity is a highly selective, independent, nonsectarian liberal arts institution located in the capital city of Hartford, Connecticut. The college maintains a rigorous academic profile complemented by a vibrant co-curricular program. With more than 2,100 full-time undergraduate students, representing forty-three states and ninety-one countries, we consider our location in a culturally and socioeconomically diverse capital city to be among Trinity's most distinctive assets; and we cultivate strong connections with our surrounding neighbors and with institutions and organizations throughout Hartford and the region. As a preeminent liberal arts college in an urban setting, Trinity College prepares students to be bold, independent thinkers who lead transformative lives.
Our recently merged analytics and enterprise applications team is at the center of several current and planned initiatives that will enhance the College's ability to use data, analytics, and AI as strategic differentiators. As the Data & AI Integrations Engineer, you will design and build pipelines, data models, intelligent services, and the interconnectivity that power everything from our next-generation data platform and ERP to campus-wide knowledge management.
This is a hands-on, "full-stack data" role for someone who thrives on variety: one day you'll orchestrate a pipeline to load and transform new data into our Fabric lakehouse; the next you'll craft an API-driven integration, stand up a SharePoint knowledge hub, or prototype a chatbot that improves the Trinity digital experience for students, employees, and other constituents. Your work will contribute to our team's efforts to effectively manage data and reveal insights.
Duties and responsibilities include:
  • Design, develop, optimize, and operate data pipelines in Microsoft Fabric and related tools for the efficient collection, storage, transformation, and presentation of data.
  • Implement data quality, lineage, and metadata-driven practices to support high-quality, fit for purpose data products, supporting analytics, reporting, integration, and AI use cases.
  • Design, build, and operate secure integrations among enterprise applications, SaaS, on-prem systems, and external data sources using iPaaS, ELT tools, and custom code.
  • Co-administer the institutional data platform with repeatable patterns, CI/CD, and automation for enterprise-grade data solutions and maintain best practice templates for self-service development by power users.
  • Partner with application developers and administrators to prototype and operationalize AI/ML services, utilizing capabilities within Microsoft Fabric, Azure, M365, and other tools.
  • Partner with information security to ensure solutions align with best practices.
  • Co-administer SharePoint Online with a focus on enabling knowledge management capabilities and integration with Power BI and Fabric.
  • Translate business requirements from analysts and subject matter experts into resilient technical designs, while maintaining robust documentation of standards, processes, and designs.
  • Perform other related duties as assigned and based on departmental need.

Qualifications
  • A bachelor's degree in computer science, information systems, engineering, or a related field is preferred.
  • A minimum of 3-5 years of relevant work experience is required (5-8 years preferred).
  • Experience building production data pipelines and/or application integrations (preferably in a cloud environment).
  • Demonstrated expertise with SQL and at least one high-level programming language (preferably Python, R, and C#).
  • Demonstrated experience with APIs, authentication designs, and networking considerations.
  • Experience administering SharePoint Online sites and platforms, and other related Microsoft 365 workloads.
  • Working knowledge of AI/ML concepts and services, model evaluation, and prompt engineering.
  • Familiarity with data visualization tools (e.g., Power BI and Tableau), data preparation tools (e.g., Tableau Prep Builder), and survey administration tools (e.g., Qualtrics).
  • Strong problem-solving, analytical, time management, and communication skills.
  • Understanding of higher education data sets, concepts, business practices, and reporting requirements.
  • Ability to uphold a professional code of ethics and maintain confidentiality.

Special Instructions to Applicants
All applicants must apply online by submitting their resume, cover letter and three references.
Posting Number
S01049
Quick Link
https://trincoll.peopleadmin.com/postings/3625