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Data Engineer Entry Level Jobs (NOW HIRING)

Stellar IT Solutions

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering. What You'll Do

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform. This role is ideal for a recent graduate or ...

Atonom

Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ...

Emonics LLC

Software Engineer

Raleigh, NC · On-site

Software Engineer -- Entry Level We are seeking a motivated Entry-Level Software Engineer to join ... data structures and algorithms Familiarity with Git and SQL

New

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

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Data Engineer Entry Level information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 19, 2026, the average yearly pay for data engineer entry level in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.

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.

More about Data Engineer Entry Level jobs
What cities are hiring for Data Engineer Entry Level jobs? Cities with the most Data Engineer Entry Level job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Data Engineer Entry Level jobs? States with the most job openings for Data Engineer Entry Level jobs include:
What job categories do people searching Data Engineer Entry Level jobs look for? The top searched job categories for Data Engineer Entry Level jobs are:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AWS Data Engineer

AWS Data Engineer

Stellar IT Solutions

Saint Louis, MO • On-site

$108K - $130K/yr

Other

Posted 16 days ago

Job description

Job Title: AWS Data Engineer
Location: St. Louis, MO (Hybrid)
Job Type: Full-Time
Experience: 0-3 Years


Launch Your Career in Cloud & Data Engineering!
Stellar IT Solutions is seeking motivated and passionate AWS Data Engineers to join our growing team and work on enterprise-level client projects. This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering.
What You'll Do

  • Design, develop, and maintain scalable data pipelines on AWS.
  • Build and optimize ETL/ELT workflows using cloud-native technologies.
  • Work with AWS services including S3, Glue, Lambda, Redshift, Athena, and CloudWatch.
  • Develop data processing solutions using Python and SQL.
  • Integrate data from multiple sources into cloud-based data platforms.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Follow best practices for data security, governance, and documentation.


Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • 0-3 years of experience in Data Engineering, Cloud, or Software Development.
  • Strong knowledge of SQL and Python.
  • Basic understanding of AWS Cloud services.
  • Familiarity with ETL concepts and relational databases.
  • Excellent analytical, communication, and problem-solving skills.


Preferred Skills
  • Experience with PySpark or Apache Spark.
  • Knowledge of AWS Glue, Redshift, Lambda, EMR, or Athena.
  • Familiarity with Git and Linux.
  • AWS Cloud certifications are a plus.


Why Join Stellar IT Solutions?
  • Work on real-world enterprise AWS cloud projects.
  • Competitive salary and comprehensive benefits.
  • Professional mentoring and career development.
  • Opportunities to earn AWS certifications.
  • Collaborative and innovative work environment.
  • Clear career growth path with leading U.S. clients.

Apply