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Entry Level Data Engineering Jobs in Missouri (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

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Boeing

Entry Level Manufacturing Engineer

Hazelwood, MO

$71K - $96K/yr

Entry Level Manufacturing Engineer Company: The Boeing Company Boeing Global Services is seeking an ... Engineering Technology (including Manufacturing Technology), Computer Science, Data Science ...

Boeing

Entry Level Manufacturing Engineer

Hazelwood, MO · On-site

$71K - $96K/yr

Entry Level Manufacturing Engineer Company: The Boeing Company Boeing Global Services is seeking an ... Engineering Technology (including Manufacturing Technology), Computer Science, Data Science ...

Tech Consulting

Be Seen First

Junior Data Engineer

Dexter, MO · On-site

$30 - $35/hr

Entry-Level Python Developer Fulltime Candidate Must be open to relocate We are looking for a motivated and enthusiastic Entry-Level Python Developer to join our development team. The ideal candidate ...

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Entry Level Data Engineering information

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How much do entry level data engineering jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for entry level data engineering in Missouri is $18.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $20.53 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

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

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Missouri? The most popular types of Data Engineering jobs in Missouri are:
What are popular job titles related to Entry Level Data Engineering jobs in Missouri? For Entry Level Data Engineering jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Missouri look for? The top searched job categories for Entry Level Data Engineering jobs in Missouri are:
What cities in Missouri are hiring for Entry Level Data Engineering jobs? Cities in Missouri with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Missouri as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $39,488 per year, or $19 per hour.
AWS Data Engineer

AWS Data Engineer

Stellar IT Solutions

Saint Louis, MO • On-site

$108K - $130K/yr

Other

Posted 15 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