ZipRecruiter

Log In

1

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 ...

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 · 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 ...

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 · On-site

$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.

next page

Showing results 1-20

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 26, 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 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 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 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 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 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, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,348 per year, or $32.4 per hour.

Hybrid Data Integration Engineer (Junior or Senior) - Secret Clearance

Saint Louis, MO • On-site

LaunchCode
IT Services • 51 - 200 employees
Learn more about LaunchCodeexternal

$95K - $135K/yr

Full-time

Posted 8 days ago

Job description

Description
Position Type: Direct Hire / Full-Time
Location: Arlington, VA / Washington, DC Metro Area - Hybrid Onsite work locations include Rosslyn, the Mark Center, and the Pentagon.
Clearance: Secret Clearance Preferred
Hiring Timeline: Immediate
Compensation:
  • Junior Data Integration Engineer: Approximately 2+ years of relevant experience | $60,000-$100,000/year
  • Senior Data Integration Engineer: 10+ years of relevant experience | $95,000-$135,000/year

Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.
Position Overview:
Our partner is seeking Data Integration Engineers at the Junior and Senior levels to support enterprise data integration, financial systems, cloud data platforms, and modernization initiatives for Defense sector clients. Engineers will help design, develop, validate, test, and support data integrations across financial systems, ERP platforms, staging environments, analytics platforms, and reporting solutions. The team works closely with technical developers, source system owners, data engineering teams, finance stakeholders, and program management to ensure data moves accurately, securely, and reliably from source systems through transformation pipelines to downstream reporting platforms.
This role provides exposure to technologies including OneStream, ERP platforms, GTAS reporting, War Data Platform, Power BI, Databricks, Palantir, Celonis Intelligence, SQL, Python, cloud-based integration services, and AI-enabled data solutions.
Position Responsibilities:
  • Design, develop, configure, test, and support enterprise data integrations.
  • Support integrations involving OneStream, ERP platforms, financial systems, analytics platforms, and reporting solutions.
  • Develop and support APIs, ETL/ELT pipelines, batch integrations, file transfers, and cloud-based data movement processes.
  • Support source-to-target mapping, transformation logic, interface controls, and validation requirements.
  • Validate data movement across source systems, staging environments, transformation layers, and downstream reporting platforms.
  • Perform data validation and reconciliation to identify discrepancies and ensure data accuracy, completeness, and traceability.
  • Troubleshoot interface failures, mapping issues, schema changes, rejected records, transformation errors, and other data processing exceptions.
  • Support System Integration Testing (SIT), User Acceptance Testing (UAT), production deployments, cutovers, and post-production stabilization.
  • Collaborate with software developers, data engineers, finance teams, source system owners, and business stakeholders.
  • Create and maintain technical documentation, interface specifications, mapping documents, reconciliation procedures, and operational runbooks.
  • Support enterprise modernization initiatives, system implementations, data conversions, and production cutovers.
  • Monitor production interfaces and identify opportunities to improve automation, performance, scalability, and reliability.
  • Use SQL, Python, Power BI, Databricks, Palantir, and other technologies to analyze data and support data quality initiatives.
  • Leverage AI-assisted tools and emerging technologies to improve data validation, reconciliation, anomaly detection, and operational support.

Junior Level - Required Skills/Experience:
  • Approximately 2+ years of experience in data engineering, data integration, software engineering, ETL development, API development, or a related technical field.
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Computer Engineering, Information Technology, or another STEM discipline.
  • U.S. citizenship and ability to obtain and maintain a Secret clearance.
  • Experience with SQL and relational databases.
  • Familiarity with ETL/ELT pipelines, APIs, batch processing, file-based integrations, or data movement processes.
  • Exposure to data mapping, transformation logic, data validation, or reconciliation.
  • Experience troubleshooting technical issues and analyzing data discrepancies.
  • Familiarity with cloud-based data platforms such as Azure, AWS, or Databricks.
  • Strong analytical and problem-solving skills.
  • Ability to communicate effectively and collaborate with technical and business teams.

Senior Level - Required Skills/Experience:
  • 10+ years of experience supporting enterprise data integration, financial systems, ERP modernization, cloud data engineering, or related initiatives.
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Computer Engineering, Information Technology, or another STEM discipline.
  • U.S. citizenship and active Secret clearance preferred. The company is willing to sponsor the right candidate.
  • Strong experience developing or supporting APIs, ETL/ELT pipelines, batch processing, file-based integrations, or middleware platforms.
  • Advanced SQL skills with experience querying, validating, and reconciling large datasets.
  • Strong experience with source-to-target validation, data reconciliation, and enterprise data quality.
  • Experience supporting SIT, UAT, production deployments, cutovers, and post-production support.
  • Strong understanding of enterprise integration patterns, data mapping, transformation logic, and interface controls.
  • Experience with cloud-based data platforms such as Azure, AWS, or Databricks.
  • Strong troubleshooting, root-cause analysis, and technical problem-solving skills.
  • Excellent communication skills and the ability to work directly with technical teams, business stakeholders, and leadership.
  • Ability to manage multiple priorities in a fast-paced consulting environment.

Preferred Qualifications - Junior & Senior:
  • Experience with OneStream or other Enterprise Performance Management (EPM) platforms.
  • Experience with ERP systems such as SAP, Oracle, Workday, Momentum, or CGI Momentum.
  • Knowledge of federal financial management, GTAS, USSGL, Treasury reporting, financial statements, audit readiness, or internal controls.
  • Experience supporting Advana, War Data Platform, or other federal enterprise data platforms.
  • Experience with REST APIs, Azure Data Factory, Azure Integration Services, Informatica, MuleSoft, Boomi, Kafka, or similar technologies.
  • Experience with Databricks, Spark, Delta Lake, Microsoft Fabric, Synapse Analytics, or similar cloud data architectures.
  • Knowledge of data governance, metadata management, master data management (MDM), and enterprise data quality.
  • Experience applying AI, intelligent automation, or agentic AI to data validation, reconciliation, anomaly detection, or interface monitoring.
  • Relevant professional certifications such as Microsoft Azure Data Engineer Associate, Databricks Data Engineer Associate, AWS Certified Data Engineer, Certified Scrum Master (CSM), or Certified Data Management Professional (CDMP).
  • Candidates with backgrounds in Software Engineering, Cloud Engineering, Data Engineering, API Development, Middleware Engineering, ETL Engineering, or ERP Integration are encouraged to apply.

Apply