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Java Data Engineer Jobs in Salt Lake City, UT (NOW HIRING)

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

Java Developer

Salt Lake City, UT · On-site

$49.25 - $63.75/hr

Stay on top of Algorithms, Data Structures and Design Patterns and love the challenge of building ... Proficient in Java, J2EE, Spring MVC, Spring Core and JavaScript. * Knowledge of API design ...

We are seeking a highly skilled Java Full Stack Developer with a strong focus on front-end ... to build efficient data models and queries. • Implement authentication and authorization ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... the Java and/or Python programming languages AND In addition to the above requirements, the ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... the Java and/or Python programming languages AND In addition to the above requirements, the ...

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... the Java and/or Python programming languages AND In addition to the above requirements, the ...

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Java Data Engineer information

See Salt Lake City, UT salary details

$25

$58

$82

How much do java data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for java data engineer in Salt Lake City, UT is $58.47, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $66.06 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 Salt Lake City, UT?

For Java Data Engineer jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Salt Lake City, UT look for?

The top searched job categories for Java Data Engineer jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Java Data Engineer jobs?

Cities near Salt Lake City, UT with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,623 per year, or $58.5 per hour.

Senior Big Data Engineer

Deegit Inc

Salt Lake City, UT • On-site

$54 - $71.25/hr

Full-time

Re-posted 10 days ago


Job description

Company Description
Deegit Inc.
Job Description
Job description:
Responsibilities
• Participate in the engineering and administration of big data systems.
• Apache Storm/Java development for both data transformation and augmentation.
• Employ best practices to ensure high availability and scalability.
• Install, configure, and maintain big data technologies and systems.
• Maintain documentation and troubleshooting playbooks.
• Respond to and resolve access and performance issues.
• Ability to work non-peak hours when needed.
• Assist in capacity planning.
• Proactively monitor performance.
• Collaborate with engineering teams to optimize data collection.
• Maintain change control and testing processes for all modifications and deployments.
• Conduct research and make recommendations on big data products, services, and standards.
Preferred Qualifications
• Experience with operational analytics and log management using ELK or Splunk.
• Understanding and experience with SQL and MPP databases such as Greenplum.
• Experience with SaltStack or comparable deployment automation tools.
• Working knowledge of Zenoss, NewRelic, PagerDuty or other monitoring technologies.
• Experience with Apache Drill, Apache Hbase, Hive, Phoenix, or other Hadoop with SQL technologies.
• Experience working with batch-processing and tools in Hadoop technology stack (MapReduce, Yarm, Pig, Hive, HDFS)
Qualifications
Basic Requirements
• BS in Computer Science, Information Systems, or related technical degree.
• 5 or more years' experience with data transformation pipelines preferably Storm
• 5 or more years' experience in messaging frameworks preferably Kafka.
• 5 or more years' experience with Java programming.
Additional Information
All your information will be kept confidential according to EEO guidelines.

Deegit logo

About Deegit

Sourced by ZipRecruiter

Deegit Inc, headquartered in Schaumburg, IL, USA, operates within the IT services industry. They specialize in engaging, mobilizing, and delivering IT talent, with an extensive background spanning more than two decades. Their service portfolio includes IT staff augmentation, direct IT recruitment, and managed services. Established in the late ’90s with a vision to address the growing demand in the IT staffing sector, Deegit has grown rapidly, reflecting strong expertise, robust market understanding, and a deep commitment to customer satisfaction. Their mission is centered around offering superior solutions, harnessing the power of technology, to help their clients thrive in a rapidly evolving digital landscape. The company's notable achievements are reflected in their long-standing partnerships with clients, their high caliber of personnel, and their extensive reach across industries.

Company size

201 - 500 Employees

Headquarters location

Schaumburg, IL, US

Year founded

1993

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