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Data Engineer Entry Level Jobs in Stamford, CT (NOW HIRING)

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

... programming and understanding of the software development life cycle Knowledge of Linear Algebra ... complex data problems Assess project requirements and develop data analysis algorithms Engage ...

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Responsibilities โ€ข Mapping and analyzing quantitative data โ€ข Preparing management reports โ€ข ...

Required Skills ReactJS NodeJS Required Experience We are looking for excellent aptitude towards ndoejs, react and data engineering. knowledge of Reactjs, JavaScript, CSS and HTML is must. Should ...

... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Required Skills Python Required Experience We are looking for excellent aptitude towards python and data engineering to help us create dynamic software applications for our clients. In this role, you ...

Showing results 21-40

Data Engineer Entry Level information

See Stamford, CT salary details

$47.4K

$138.3K

$189.3K

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

As of Sep 1, 2026, the average yearly pay for data engineer entry level in Stamford, CT is $138,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $146,600.00 per year, depending on experience, location, and employer.

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 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.

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 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 Stamford, CT?

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

What are popular job titles related to Data Engineer Entry Level jobs in Stamford, CT?

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

What job categories do people searching Data Engineer Entry Level jobs in Stamford, CT look for?

The top searched job categories for Data Engineer Entry Level jobs in Stamford, CT are:

What cities near Stamford, CT are hiring for Data Engineer Entry Level jobs?

Cities near Stamford, CT with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Stamford, CT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $138,313 per year, or $66.5 per hour.

Entry Level Data Analyst

Gain America

Hicksville, NY โ€ข On-site

$70K/yr

Contractor

Re-posted 11 days ago


Job description

Job description
Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management