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Data Engineer Entry Level Jobs in O Fallon, MO (NOW HIRING)

Cyera

Security Engineer

Creve Coeur, MO · On-site +1

$80K - $150K/yr

As the leading data security platform purpose-built for the cloud era, Cyera's mission is to ... AWS entry-level certification required at minimum, such as AWS Certified Cloud Practitioner. AWS ...

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in O'Fallon, MO

Data Engineer Entry Level information

See O Fallon, MO salary details

$41.6K

$121.3K

$166K

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

As of Aug 6, 2026, the average yearly pay for data engineer entry level in O'Fallon, MO is $121,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $128,600.00 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 O'Fallon, MO? The most popular types of Data Engineer jobs in O'Fallon, MO are:
What cities near O'Fallon, MO are hiring for Data Engineer Entry Level jobs? Cities near O'Fallon, MO 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 O'Fallon, MO as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,347 per year, or $58.3 per hour.

TS/SCI -Entry-Level Software Developer (Python Required) with Security Clearance

Bailey Information Technology, LLC

Saint Louis, MO • On-site

$47 - $64.75/hr

Other

Posted 6 days ago

Job description

Bailey Information Technology, LLC TS/SCI -Entry-Level Software Developer (Python Required) * St. Louis, MO Entry-Level Software Developer (Python Required) Location: St. Louis, MO Clearance: HSPD-12 / ability to obtain TS/SCI w/ Poly Required Certifications: DD8140 compliant Certification (Security+) w/in 3 months Level: T1 (Target) Job Description: The BIT, LLC is recruiting for a junior (entry level) software developer to work on the design and coding with software solutions for the Aeronautical Navigation Office.  The ideal candidate has a familiarity with and a baseline understanding of software development concepts, developing coding skills using different tools, and ambition towards future projects in support of the mission.    Responsibilities: The applicant must possess competence with Python and should have working knowledge JavaScript/TypeScript.  Other duties include working with Docker, AWS Cloud, and familiarity with JSON APIs. This role includes creation and documentation of new and existing functionality within software version control repositories (GitLab) and utilizing DevOps principals and tools to deliver new features within an Agile construct. Participate in program Agile software development initiatives (standup, planning, Increment planning) to support innovation and enhancement of custom applications through iteration/functionality testing. Primary responsibilities will involve developing configurations and features for processing Safety of Navigation (SoN) data through an Optical Character Recognition (OCR), Machine Learning (ML) application. This role includes API development and database integration for interaction with React frameworks, using various open-source packages for visualization and data filtering and code modifications that shall apply best practices in unit and build testing. Participate and collaborate with team members to assess tickets to ensure proper testing and delivery of functionality per User Story Acceptance Criteria Core Qualifications: * Minimum 1 year of experience with Python. * Experience with modern JavaScript development framework. * Experience with unit testing, continuous integration tools, and Gitlab version control * Proactive self-starter demonstrates a positive, willing attitude and excellent oral and written communication skills. * Experience in either software development projects or software integration projects in a service-oriented environment (Cloud, SOA, Web-Services) or virtualization environment. * Requires BS degree and 2+ years of prior relevant experience or Masters with less than 2 years of prior relevant experience; OR 4 years of related experience. * Organizational Skills: Can plan and prioritize work. Follow tasks to their logical conclusion and make sure that everything has been done to the right standard. Good attention to detail. * Communications: Ability to communicate clearly and efficiently with team members and clients, verbally and in writing. Able to present ideas in a variety of ways depending upon audience and context. Preferred Qualifications: * At least 1 year of experience with Optical Character Recognition (OCR) and/or Computer Vision (CV) Technologies (AWS Textract, Tesseract, OpenCV) * At least 1 year of experience with DoD Aeronautical Datasets * At least 2 years of experience with AWS cloud formation templates and/or AWS CDK. * Experience with 2D data (HTML Canvas, OpenLayers, Leaflet, GeoJSON, Godot) * AWS Solutions or DevOps certification * Team Collaboration tools (Jira, Confluence) * Ability to obtain TS/SCI with Polygraph

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