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Data Engineer Entry Level Jobs in Connecticut (NOW HIRING)

langan

Civil Engineer - Entry Level

New Haven, CT · On-site

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

langan

Civil Engineer - Entry Level

New Haven, CT

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Pwc

Data Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Stamford, CT · On-site

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Hartford, CT · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Stamford, CT

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Stamford, CT · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Salas O'Brien

Entry-level Civil Engineer

Bloomfield, CT · On-site

$75K - $80K/yr

Civil Engineer At Salas O'Brien we tell our clients that we're engineered for impact. This passion ... Our specialized experience includes design for data centers, healthcare, science and technology ...

ASSA ABLOY

ERP Data Specialist

New Haven, CT

We are seeking an entry level self-motivated professional to join our team as an ERP Data ... What you will be doing Work with internal stakeholders including Engineering, Operations, Quality ...

Assa Abloy

ERP Data Specialist

New Haven, CT · On-site

We are seeking an entry level self-motivated professional to join our team as an ERP Data ... What you will be doing Work with internal stakeholders including Engineering, Operations, Quality ...

SynergisticIT

Junior Software Engineer

Stamford, CT

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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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 Jun 14, 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.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

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.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

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.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.
Full Stack Engineer - Entry Level

Full Stack Engineer - Entry Level

SynergisticIT

New Haven, CT

Other

Posted 24 days ago

Job description

Job Opportunities at SynergisticIT

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid-off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens.

We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, etc. to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.

Who Should Apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and Green card filing to candidates. Candidates can benefit from skill enhancement if they fall into the below categories: candidates who lack experience or are freshers with no actual on-job experience with projects with clients, have had a break in careers, lack technical competency or skills being demanded by clients, different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

SynergisticIT at Oracle Cloudworld 2023 SynergisticIT at Gartner Data & Analytics summit

Why do tech companies not hire recent computer science graduates? Technical skills or experience? Which one is important to get a job? SynergisticIT REQUIRED SKILLS For Java/Software Programmers: Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Highly motivated, self-learner, and technically inquisitive. Experience in programming language Java and understanding of the software development life cycle. Project work on the skills. Knowledge of Core Java, JavaScript, C++, or software programming. Spring boot, Microservices, Docker, Jenkins, and REST API's experience. Excellent written and verbal communication skills.

For data Science/Machine learning REQUIRED SKILLS: Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Project work on the technologies needed. Highly motivated, self-learner, and technically inquisitive. Experience in programming language Java and understanding of the software development life cycle. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Excellent written and verbal communication skills. Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis.

Please understand skills and relevant experience on real-world projects are required by clients for selection even if it's a junior or entry-level position. The additional skills and project work with hands-on experience building projects at the client site are the only way a candidate can be picked by clients. If not having the skills or hands-on project work at the client site, then candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or C2C candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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