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Junior Data Engineering Jobs in Missouri (NOW HIRING)

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 ...

New

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 ...

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 ...

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.

New

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 ...

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 ...

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 ...

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 ...

New

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 ...

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

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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Showing results 1-20

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 8, 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 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:
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.

Staff Data Scientist

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 3 days ago

New


Job description

Responsibilities
  • Work directly with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders by developing, deploying, and maintaining data pipelines from authoritative data sources needed for metrics and analytics.
  • Oversee both long-range goals and near-term objectives of the Division Analytics team related to collecting, managing, and converting raw data into usable information for business analysts to interpret and for division-wide accessibility.
  • 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 Science; 10 years with Masters; 8 years with PhD or an additional 4 years of related experience in lieu of degree
  • Must be a US citizen.
  • Experience using various programming languages and tools for data science and data engineering; e.g., Python, SQL, Neo4j, Tableau, AWS, etc.
  • Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from various sources using APIs, custom code, and other extraction methods
  • Experience handling structured and unstructured data and using database management systems
  • Experience with distributed (cloud) data storage structures, local databases, and other data storage forms
ATS Optimization Keywords

Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills
  • data engineering
  • data pipelines
  • ETL
  • ELT
  • Python
  • SQL
  • Neo4j
  • Tableau
  • AWS
  • database management
Soft Skills
  • mentorship
  • leadership
  • code reviews
  • engineering best practices
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