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Java Data Engineer Jobs in Midvale, UT (NOW HIRING)

Data Engineer

Salt Lake City, UT · On-site

$100K - $135K/yr

The Data Engineer will help scale the data foundations that power the business. This individual ... Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred

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 ...

Senior Data Platform Engineer

Lehi, UT · On-site

$150 - $200/hr

Collaborate with Software Engineers, Data Engineers, Product, Marketing, and other departments ... Deep expertise in Go, Java, Python, Ruby, or Scala; Go preferred * Hands-on experience designing ...

New

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 ...

Senior Data Science Software Engineer (Solventum)**3M Health Care is now SolventumAt Solventum, we ... the Java and/or Python programming languagesOR* High School Diploma/GED from AND 11 years of ...

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 ...

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Java Data Engineer information

See Midvale, UT salary details

$25

$56

$80

How much do java data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for java data engineer in Midvale, UT is $56.99, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $64.38 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 Midvale, UT?

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

What cities near Midvale, UT are hiring for Java Data Engineer jobs?

Cities near Midvale, UT with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Midvale, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,531 per year, or $57 per hour.

Data Engineer

Salt Lake City, UT • On-site

Kavaliro
IT Services • 501 - 1,000 employees

$100K - $135K/yr

Full-time

Posted 13 days ago


Key responsibilities

  • Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive business growth and enable data-driven decision making.

  • Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.

  • Streamline the ingestion of raw data from various sources into the Data Lake and Data Warehouse.


Job description

Job Description
Our client is seeking a Data Engineer for a direct hire opportunity. The Data Engineer will help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high quality solutions.
Data sits at the core of client operations. The firm relies on clean, reliable, well structured data to drive decision making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.
Pay: $100,000 - $135,000 annually
Responsibilities:
  • Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive business growth and enable data-driven decision making.
  • Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
  • Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
  • Design data models for optimal storage and retrieval that represent the tangible business domains across ecosystem.
  • Coordinate closely with the Operations, Sales, and Product Development teams daily to push FinTech strategy and improve the overall profitability of the business.

Qualifications:
  • 6+ years of professional experience in a data engineering or data-driven software engineering role
  • Exceptional Python and SQL skills
  • Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
  • Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
  • Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
  • Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
  • Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
  • Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
  • Detail-oriented and able to multitask and work in a fast-paced environment
  • Able to work independently while also being a strong team player
  • Excellent written and verbal communication
  • Passionate about learning and mastering cutting-edge technologies
  • Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
  • Knowledge of financial markets and financial instruments is preferred

Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Job Requirements
Hybrid
By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.