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Java Data Engineer Jobs in Missouri (NOW HIRING)

$109K - $130K/yr

Data Engineer The candidate must be committed to move to St. Louis and live here 100% from day 1. ... Proficient in object-oriented concepts with experience in Python, Java, or C# * Effective ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.) * Database Technology ... Data lakes * Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure ...

Big Data Engineer

Creve Coeur, MO

$52.25 - $69/hr

General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.) * Database Technology ... Data lakes * Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure ...

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Data Engineer Clayco is a full-service, turnkey real estate development, master planning ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the ... Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.

Proven skills in coding, testing, and troubleshooting using languages like Python, Java, or SQL ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Proven skills in coding, testing, and troubleshooting using languages like Python, Java, or SQL ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

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Showing results 1-20

Java Data Engineer information

See Missouri salary details

$25

$56

$80

How much do java data engineer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for java data engineer in Missouri is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.04 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What are the key skills and qualifications needed to thrive as a Java Data Engineer, and why are they important?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What cities in Missouri are hiring for Java Data Engineer jobs? Cities in Missouri with the most Java Data Engineer job openings:

$100K - $140K/yr

Full-time

Posted 24 days ago


Job description

Data Engineer
Must Have Technical/Functional Skills
• Orchestration: Apache Airflow, Apache NiFi.
• Programming: Java (Core), Python (for Airflow), Unix Shell Scripting.
• Big Data/Storage: Apache Spark, MinIO, AWS S3.
• Security: SSL/TLS, Certificate Management, IAM, Java Keystores.
• OS: Linux/Unix (RHEL/Ubuntu).
Key Responsibilities:
• Pipeline Orchestration: Design and develop complex, reusable DAGs in Apache Airflow to automate data workflows, scheduling, and monitoring across the enterprise.
• Data Ingestion & Flow: Create and optimize high-volume data streams using Apache NiFi, leveraging custom processors and controller services for diverse data sources and sinks.
• Custom Development: Utilize Java to develop custom NiFi processors or troubleshoot the core NiFi framework, ensuring the platform meets specific architectural requirements.
• Object Storage Management: Implement and manage data storage solutions using MinIO and AWS S3, ensuring high availability and efficient data retrieval patterns.
• Large-Scale Processing: Develop and maintain Apache Spark jobs for heavy-duty data transformations, integrating them into NiFi and Airflow orchestration layers.
• Security & Certificate Management: Secure NiFi clusters and data flows using TLS/mTLS, managing Java KeyStores (JKS), TrustStores, and SSL certificate lifecycles to ensure data-in-motion security.
• System Administration: Perform environment setup, performance tuning, and troubleshooting within Unix/Linux environments, including shell scripting for task automation.
• Cloud Integration: Deploy and manage data infrastructure components on AWS, utilizing IAM for access control and integrating cloud-native services with hybrid data pipelines.
• Monitoring & Optimization: Establish robust logging and alerting for data pipelines to proactively identify bottlenecks, ensuring 99.9% reliability of data delivery.
Salary Range- $100,000-$140,000 a year