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Data Engineer Entry Level Jobs in Connecticut (NOW HIRING)

Actalent

Entry Level Engineering Grads

Wilton, CT

$24 - $26/hr

HIRING ENTRY LEVEL GRADS FOR DATA CENTER PROJECTS! Entry-Level Engineering Technician Wilton, CT | $24-$26/hr | Day & Night Shifts Available Recent Engineering or Engineering Technology graduate?

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Connecticut

Data Engineer Entry Level information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data engineer entry level jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer entry level 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 some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

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 Data Engineer Entry Level jobs in Connecticut?

For Data Engineer Entry Level jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Connecticut look for?

The top searched job categories for Data Engineer Entry Level jobs in Connecticut are:

What cities in Connecticut are hiring for Data Engineer Entry Level jobs?

Cities in Connecticut with the most Data Engineer Entry Level job openings:

Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Connecticut as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Data Scientist/Remote Software Developer (Entry Level)

SynergisticIT

Hartford, CT • On-site

Other

Posted 6 days ago

Job description

ML/AI Programmer — Build Practical AI Skills Employers Understand AI is one of the most exciting areas in tech, but employers are not simply looking for candidates who have watched AI videos or completed a few notebooks. They want programmers who understand data, write clean Python code, evaluate models, connect AI work to applications, and explain results clearly. For entry-level candidates, practical proof matters. SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines, automation, and AI application development. This role is ideal for motivated learners who want to build a stronger foundation for AI-related software and data roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for ML/AI candidates because it helps them move beyond theory and build a job-ready profile. Candidates can focus on practical projects, employer-aligned skills, technical interview preparation, and resume positioning that shows they can apply AI concepts in real-world contexts. If you want to turn AI interest into practical career preparation, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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