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Java Data Engineer Jobs in St Louis, MO (NOW HIRING)

Java/J2EE Developer

Saint Louis, MO ยท On-site

$100 - $125/hr

... data (Hadoop/Cassandra) to IoT. You would work with a team of talented individuals who share a ... Strong understanding of Object Oriented Programming * Analyze and develop Java solutions based on ...

Sr. Java Developer

Saint Louis, MO ยท On-site

$55.75 - $71/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Core Java (Mandatory) Web Service [REST and SOAP] (Mandatory) Hibernate or ...

Sr. Java Developer

Saint Louis, MO

$55.75 - $71/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Core Java (Mandatory) Web Service [REST and SOAP] (Mandatory) Hibernate or ...

Sr. Java Developer

Saint Louis, MO ยท On-site

$55.75 - $71/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Core Java (Mandatory) Web Service [REST and SOAP] (Mandatory) Hibernate or ...

Senior Java Developer

Saint Louis, MO ยท On-site

$54.25 - $69.25/hr

Staff Software Engineer Location : St. Louis Missouri Hybrid Direct Client Requirement As a Staff ... Stay updated with the latest technologies and trends in data engineering and propose innovative ...

Java - SDET Location: St Louis, MO Duration: 3 yrs SDET ROLE * Let me be very clear here - these ... Use standard notation, design principles, data structures and algorithms, etc. They must be 100 ...

Java - SDET

Saint Louis, MO ยท On-site +1

Java - SDET Location: St Louis, MO Duration: 3 yrs SDET ROLE * Let me be very clear here - these ... Use standard notation, design principles, data structures and algorithms, etc. They must be 100 ...

Big Data Analytics Developer

Saint Louis, MO ยท On-site

$51.50 - $66.75/hr

Big Data / Analytics Developer 12 Months+ St. Louis, Missouri 08-03-2015 Senior Big Data Analytics ... well as Java and Clojure. Must have a strong understanding of data modeling in both Remote ...

Java / J2EE Developer

Saint Louis, MO ยท On-site +1

$49.50 - $64.25/hr

... data (Hadoop/Cassandra) to IoT. You would work with a team of talented individuals who share a ... Strong understanding of Object Oriented Programming * Analyze and develop Java solutions based on ...

Java Developer

Saint Louis, MO

$49.50 - $64.25/hr

... in Java & Unix. Assist production support of applications in PROD and Pre PROD. Conduct unit ... Data Access Objects and Data Transfer Objects. Experience in Object Oriented Analysis and Design ...

Java / J2EE Developer

Saint Louis, MO ยท On-site +1

$49.50 - $64.25/hr

... big data (Hadoop) to IoT. You would work with a team of talented individuals who share a strong ... Strong understanding of Object-Oriented Programming (OOP) * Analyze and develop Java solutions ...

Showing results 41-60

Java Data Engineer information

See St Louis, MO salary details

$25

$58

$82

How much do java data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for java data engineer in St. Louis, MO is $58.75, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $66.39 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 St. Louis, MO?

For Java Data Engineer jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in St. Louis, MO look for?

The top searched job categories for Java Data Engineer jobs in St. Louis, MO are:

Infographic showing various Java Data Engineer job openings in St. Louis, MO as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $122,191 per year, or $58.7 per hour.

Sr. Hadoop Data Engineer

Saint Louis, MO

Sonoma Consulting Inc.
Business Management Consultingย โ€ขย 1 - 10 employees

Full-time

Re-posted 15 days ago


Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within
the teams of the world's leading companies to help them build innovative
businesses that keep them one step closer to their customers and one step
ahead of the competition. We offer a meaningful work environment for
employees, attractive and interesting engagements for consultants, and cutting-edge
digital innovation for our customers.
We delight in helping our customers execute their digital vision. Big projects or
small, Halo Group knows that by combining the highest quality talent with our
unwavering support, we will become an invaluable extension of the team. Halo
Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all
areas of product/project governance, UX/UI, multi-platform applications, quality
assurance/testing, cloud computing, and data analytics.
Since its inception, Halo Group has been recognized for numerous awards, including:ย 
- INC 5000
- Future 50
- 101 Best and Brightest
- Michigan 50 Companies to Watch
- Goldline Research - "Most Dependable Companies"
- Ernst & Young - "Entrepreneur of the Year" Finalist

Job Description
Preferred
  • Selecting and integrating Big Data tools and frameworks required to provide requested capabilities
  • Implementing Data ingestion and ETL processes on Hadoop
  • Monitoring performance and advising any necessary infrastructure changes
  • Defining data retention policies
  • Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem
  • Develop applications that are scalable to handle millions of events/records
  • Design and launch scalable, reliable and efficient processes to move, transform and report on large amounts of data
  • Participate in meetings with business (account/product management, data scientists) to obtain new requirements
  • Follow our Agile software development process with daily scrums and monthly Sprints
  • Ability to work collaboratively on a cross-functional team with a wide range of experience levels

QUALIFICATIONS

  • Bachelor's degree andย 8+ years relevant experience or Master's degree and 6+ years of relevant experience
  • 4+ years in industry implementing big data solutions on Hadoop
  • Proficient understanding of distributed computing principles
  • Proficiency with Hadoop v2, MapReduce, HDFS
  • Experience with building stream-processing systems, using solutions such as Storm or Kafka and Spark-Streaming
  • Good knowledge of Big Data querying tools, such as Pig, Hive, Phoenix
  • Experience with Spark
  • Experience with integration of data from multiple data sources
  • Experience with 1 or 2 NoSQL/Graph databases, such as HBase, Cassandra, MongoDB, Neo4j
  • Proficiency in a programming languages like SCALA, Java,Python
  • Experience with Linux OS, shell scripting
  • Experience with relational databases (SQL)
  • Experience in working with real-time data feeds
  • Experience in working with unstructured data
  • Experience in implementing Scoop Jobs to Import/Export data from Hadoop
  • Knowledge of various ETL techniques and frameworks, such as Pig, Hive, or Flume
  • Experience with various messaging systems, such as Kafka or RabbitMQ
  • Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks
  • Experience with Hortonworks Hadoop Data Platform (HDP)
  • Experience with all or some of the following supporting Hadoop administration and security frameworks: HCatalog, Drill, NiFi, Oozie, Falcon, Ranger, Ambari, Zeplin.
Qualifications

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
At least 2 years of experience with Information Technology

Additional Information

** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.
This is a Full-Time / Permanent job opportunity.
Only for US Citizen and Green Card Holder

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


Sonoma Consult logo

About Sonoma Consult

Sourced by ZipRecruiter

Sonoma Consult is a California based C corporation helping companies bring products to the patient by working closely with the engineering teams and the clinicians. Our goal, no matter what stage of product development, is to create and execute a plan of action to move the product through the appropriate clinical and regulatory steps. Sonoma Consult works cohesively with the engineers and physicians to translate technologies to the clinic. Our goal is to help you get the very best product to the clinic and to the market. This includes planning, execution and ensuring critical data is delivered in the right format to ensure the feedback loop to the design team ultimately delivers the most advanced technology to the patient.

Industry

Business management consulting

Company size

1 - 10 Employees

Headquarters location

Sonoma, CA, US