1

Java Data Engineer Jobs in Maryland Heights, MO (NOW HIRING)

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 · 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 ...

Senior Data Engineer

Saint Louis, MO · On-site

$100K - $136K/yr

Experience programming in Java * Experience scaling Airflow * Experience with dbt * DevOps / CICD ... Function - Data and Analytics Schedule: Full time

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Python, Julia, R, C, C++, C#, Java. * Experience leading technical teams or projects Preferred ...

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Python, Julia, R, C, C++, C#, Java. * Experience leading technical teams or projects Preferred ...

Java Engineer

O Fallon, MO · On-site

$48.50 - $66.50/hr

Java Engineer * An ideal candidate for this role would have extensive experience in Java ... This level of database knowledge is crucial for data-heavy applications and backend services.

Lead Java Engineer

Saint Louis, MO · On-site

$100 - $130/hr

Job Title: Lead Java Engineer Job ID: 2024-12812 Job Location: Morris Plains, NJ (Preferred ... Be responsible for building Entity platform data pipelines/services. * Responsible for analyzing ...

New

Lead Java Engineer

Saint Louis, MO · On-site

$140K - $150K/yr

Lead Java Engineer Location: Saint Louis, Missouri (On-Site/Hybrid/Remote - specify as needed ... Oversee database schema design, data migration, query optimization, and secure, reliable ...

Software Engineer Java

Saint Louis, MO · On-site

$49 - $67.25/hr

Software Engineer- Java Location: St Louis, MO, Charlotte, NC, Coppell, TX(Only Locals) Note ... This role focuses on transactional systems, not data pipelines or analytics . Required Skills * 7+ ...

Java Developer

Saint Louis, MO · On-site

$49.50 - $64.25/hr

Title: Java Developer Location: St Louis, MO * 10+ years of hands-on software engineering ... Familiarity with web technologies (e,g,, JavaScript, HTML, CSS), data manipulation (e.g., SQL), and ...

Java Developer

Lake Saint Louis, MO · On-site

$48.25 - $62.50/hr

... framework • Build data processing solutions for efficient API performance • Integrate ... engineer will have: Bachelors or Masters degree, preferably in Computer Science, Computer ...

next page

Showing results 1-20

Java Data Engineer information

See Maryland Heights, MO salary details

$25

$58

$82

How much do java data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for java data engineer in Maryland Heights, MO is $58.39, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $65.96 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 are the key skills and qualifications needed to thrive as a Java data engineer?

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 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 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 popular job titles related to Java Data Engineer jobs in Maryland Heights, MO?

For Java Data Engineer jobs in Maryland Heights, MO, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Maryland Heights, MO look for?

The top searched job categories for Java Data Engineer jobs in Maryland Heights, MO are:

What cities near Maryland Heights, MO are hiring for Java Data Engineer jobs?

Cities near Maryland Heights, MO with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Maryland Heights, MO as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,450 per year, or $58.4 per hour.

Big Data Engineer

Ocelot Consulting

Creve Coeur, MO • On-site

$52.25 - $69/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 4 days ago


Job description

Company Description

Ocelot Consulting specializes in cloud technologies, custom application development and enterprise security. Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies.

Job Description

As a big data engineer you will develop innovative software using state of the art big data streaming architectures.

Qualifications

Requirements

  • Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra
  • Extensive ETL experience
  • General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.)
  • Database Technology - (Postgres, Mongo, Cassandra, Elastic Search, Oracle, etc.) as well as SQL and related query languages

Nice to have

  • Data lakes
  • Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)
  • Experience with Business Intelligence Platforms Experience with modern JavaScript
  • API Development (proper microservice separation, HTTP verb usage)
  • DevOps - understanding of OS and Container Management
    • Distributed microservice architectures providing elasticity, redundancy, failover, and intelligent routing.
    • Docker/Kubernetes/Cloud Foundry experience
Additional Information

Standard Benefits Program (medical, dental, retirement, PTO, etc.)

All your information will be kept confidential according to EEO guidelines.