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Junior Data Engineering Jobs in Missouri (NOW HIRING)

Jobtailor

Staff Data Scientist

California, MO · On-site

$120 - $180/hr

Provide mentorship and leadership to guide junior data engineers, conduct code reviews, and champion engineering best practices. Requirements * 12 years professional experience with Bachelors in ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Mentor and support junior data team members as the team grows. Required Qualifications Education * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Mentor and support junior data team members as the team grows. Required Qualifications Education * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field ...

6AM City, LLC

Data Scientist

California, MO · On-site

$145 - $180/hr

Ensure data quality and integrity in modeling by working with data engineers and analysts ... Experience mentoring junior data scientists and guiding best practices in modeling and analysis.

Deloitte

Lead AI and Data Science Engineer II

Saint Louis, MO · On-site

$99K - $131K/yr

Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment * Mentorship of junior and mid-level analysts, providing ...

Boeing

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Mentor and provide guidance to junior data scientists * Contribute to the development of best ... Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing ...

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Mentor and provide guidance to junior data scientists * Contribute to the development of best ... Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing ...

Boeing

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Mentor and provide guidance to junior data scientists * Contribute to the development of best ... Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing ...

Nestlé S.A.

Expert Data Scientist

Saint Louis, MO · On-site

$130 - $188/hr

Mentor junior data scientists and provide thought leadership on emerging technologies such as ... engineering, and model development * 2+ years of experience designing, fine-tuning, evaluating, and ...

Nestle

Expert Data Scientist

Saint Louis, MO

$130K - $188K/yr

Mentor junior data scientists and provide thought leadership on emerging technologies such as ... engineering, and model development * 2+ years of experience designing, fine-tuning, evaluating, and ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

Data Engineering & Architecture * Design, develop, and maintain Snowflake data warehouse solutions ... Provide technical mentoring and guidance to junior developers, analysts, and business users.

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Missouri

Junior Data Engineering information

See Missouri salary details

$31.4K

$67.3K

$102.7K

How much do junior data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior data engineering in Missouri is $67,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
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 Junior Data Engineering jobs in Missouri? For Junior Data Engineering jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Missouri look for? The top searched job categories for Junior Data Engineering jobs in Missouri are:
What cities in Missouri are hiring for Junior Data Engineering jobs? Cities in Missouri with the most Junior Data Engineering job openings:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,348 per year, or $32.4 per hour.

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Kansas City, MO • On-site

Other

Posted 2 days ago

New

Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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