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Associate Data Engineer Jobs in Stratford, CT (NOW HIRING)

Support day-to-day operations of the Meter Test Center and Meter Engineering teams * Assist Data ... Associate's degree in electrical engineering or electrical engineering technology from an ABET ...

Support day-to-day operations of the Meter Test Center and Meter Engineering teams * Assist Data ... Associate's degree in electrical engineering or electrical engineering technology from an ABET ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Healthcare Provider L65 - Associate Vice President, AI and Data Solutions - Data Lead Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a ...

... associates great flexibility to work from home, and opportunities to connect with colleagues for ... Utilize Master Data Management tools like Ataccama and in-house tools to ensure filtering ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

With as much data under management as the hyperscalers, we're the preferred data partner for the ... Mentor associates, participate in creation and maintenance of enablement materials across the team

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Associate Data Engineer information

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$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for associate data engineer in Stratford, CT is $19.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Stratford, CT?

The most popular types of Data Engineer jobs in Stratford, CT are:

What are popular job titles related to Associate Data Engineer jobs in Stratford, CT?

For Associate Data Engineer jobs in Stratford, CT, the most frequently searched job titles are:

What cities near Stratford, CT are hiring for Associate Data Engineer jobs?

Cities near Stratford, CT with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Stratford, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $40,355 per year, or $19.4 per hour.

Associate Faculty - Master of Science in Computer Science

Post University

Waterbury, CT • On-site

$39K - $53K/yr

Other

Re-posted 6 days ago


Post University rating

6.3

Company rating: 6.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

537th of 622 rated colleges and universities


Job description


At Post University, we believe that personalized guidance, unwavering motivation, robust support, and a student-centered education are the catalysts that allow students to achieve their individual academic and career goals. Our Associate Faculty play a central role in bringing this mission to life, especially for students navigating their first year of college.

Associate Faculty foster learning environments where students feel supported, motivated, and connected to the university community. Through intentional teaching, coaching, and relationship-building in and out of the classroom, they help students develop the skills, confidence, and sense of belonging needed to persist academically and grow into workforce-ready, socially responsible learners.

MASTER OF SCIENCE IN COMPUTER SCIENCE

ASSOCIATE FACULTY (ON CAMPUS)

School of Arts and Sciences
Post University
Waterbury, Connecticut

POSITION SUMMARY

Post University invites applications for Associate Faculty positions in the Master of Science in Computer Science program. We are seeking highly qualified educators, researchers, and industry professionals with terminal degrees who are passionate about teaching graduate students and preparing future technology leaders.

This position is for on campus instruction only at Post University's Waterbury, Connecticut campus. Successful candidates will teach graduate level courses, mentor students, contribute to academic excellence, and bring current industry and research expertise into the classroom.

The Master of Science in Computer Science program focuses on advanced topics including artificial intelligence, machine learning, software engineering, cybersecurity, cloud computing, data science, computer systems, and emerging technologies.

PRIMARY RESPONSIBILITIES

• Teach graduate level Computer Science courses in a face to face classroom environment.
• Deliver engaging, rigorous, and student centered instruction.
• Provide timely feedback and assessment of student learning.
• Mentor and advise graduate students.
• Integrate current industry practices, research, and emerging technologies into coursework.
• Participate in curriculum development, program assessment, and continuous improvement initiatives.
• Collaborate with faculty, program leadership, and university administration.
• Maintain academic records and adhere to university policies and accreditation standards.

MINIMUM QUALIFICATIONS

• Earned doctoral degree required in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Systems, Computer Engineering, or a closely related discipline.
• Demonstrated academic and/or professional expertise in the discipline being taught.
• Minimum of three years of relevant industry experience in computing, software development, cybersecurity, artificial intelligence, cloud computing, data science, systems engineering, or related technical fields.
• Strong communication, presentation, and interpersonal skills.
• Commitment to student success and academic excellence.

PREFERRED QUALIFICATIONS

• Previous graduate level teaching experience.
• Experience teaching in higher education.
• Record of scholarly activity, research, publications, presentations, or industry leadership.
• Experience developing graduate curriculum and course materials.
• Experience supervising student research, capstone projects, or thesis work.

AREAS OF EXPERTISE

Candidates with expertise in one or more of the following areas are encouraged to apply:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science and Analytics
• Software Engineering
• Cybersecurity
• Cloud Computing
• Computer Networks
• Database Systems
• Programming Languages
• Systems Architecture
• DevOps
• Distributed Systems
• Human Computer Interaction
• Information Systems
• Mobile Application Development
• Web Application Development
• High Performance Computing
• Quantum Computing

INDUSTRY CERTIFICATIONS

Professional certifications are strongly preferred and should align with the candidate's area of expertise.

Examples include:

Cybersecurity
• CISSP
• CCSP
• CEH
• Security+
• CySA+

Cloud Computing
• AWS Solutions Architect
• AWS DevOps Engineer
• Microsoft Azure Solutions Architect Expert
• Google Professional Cloud Architect

Artificial Intelligence and Data Science
• Google Professional Machine Learning Engineer
• Microsoft Azure AI Engineer Associate
• Databricks Data Engineer Certifications

Networking and Infrastructure
• CCNA
• CCNP

Project Management
• PMP
• Certified ScrumMaster (CSM)
• ITIL Foundation

WHY JOIN POST UNIVERSITY?

• Opportunity to teach and mentor graduate students in a growing Master of Science in Computer Science program.
• Collaborative academic environment with strong institutional support.
• Ability to shape the future workforce in advanced computing disciplines.
• Opportunity to contribute to curriculum innovation and program growth.
• Engagement with students pursuing careers in artificial intelligence, cybersecurity, software engineering, cloud computing, and data science.

APPLICATION MATERIALS

Interested candidates should submit:

• Curriculum Vitae (CV)
• Cover Letter
• Unofficial or Official Academic Transcripts
• List of Relevant Certifications
• Teaching Philosophy Statement (preferred)
• Professional References

Post University is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse academic community.




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