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Java Data Engineer Jobs in Sacramento, CA (NOW HIRING)

Atria Group LLC

Senior Application Engineer- JAVA

Folsom, CA · On-site

$133K - $175K/yr

Develops and maintains application systems to ensure timely access to accurate, real-time data ... Ten or more years of Java related experience. IT applications Experience in IT applications ...

PTP

Java Application Architect

Rancho Cordova, CA · On-site

$67.25 - $90.75/hr

Collaborate with other developers and subject matter experts to establish the technical vision and ... Developing detailed design documents, such as use cases and data structure diagrams * All Software ...

INA Solution

Senior Java Developer

Rancho Cordova, CA

$61 - $77.75/hr

Senior Java Developer Location: Rancho Cordova, CA (candidates must be local enough for on-site ... data modeling Strong experience working in Service Oriented Architectures (SOA) Additional ...

INA Solution

Senior Java Developer

Rancho Cordova, CA · On-site

$61 - $77.75/hr

Senior Java Developer Location: Rancho Cordova, CA (candidates must be local enough for on-site ... data modeling Strong experience working in Service Oriented Architectures (SOA) Qualifications ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Sacramento, CA

Java Data Engineer information

See Sacramento, CA salary details

$28

$64

$90

How much do java data engineer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for java data engineer in Sacramento, CA is $64.43, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $72.79 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 are popular job titles related to Java Data Engineer jobs in Sacramento, CA? For Java Data Engineer jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Sacramento, CA look for? The top searched job categories for Java Data Engineer jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Java Data Engineer jobs? Cities near Sacramento, CA with the most Java Data Engineer job openings:
Java Data Engineer jobs near you

Data engineering-Big data devloper

Prophecy Technologies

Elk Grove, CA • On-site

$120K - $144K/yr

Full-time

Posted 16 days ago

Job description

Responsibilities:
* Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
* Write efficient and optimized SQL queries for data extraction, transformation, and loading (ETL) processes.
* Work with DataFrames to manipulate and analyze large datasets.
* Implement data storage and processing solutions using cloud technologies (preferably AWS or GCP).
* Build and maintain real-time data streaming pipelines using MSK/Kafka.
* Utilize S3 for data storage and retrieval.
* Work with data lake technologies like Iceberg.
* Ensure data quality, integrity, and security.
* Collaborate with data scientists and other engineers to understand data requirements and deliver solutions.
* Participate in code reviews and contribute to improving our development processes.
* Troubleshoot and resolve issues in data pipelines and back-end systems.
Qualifications:
* Bachelor's degree in Computer Science or a related field (or equivalent experience).
* 5+ years of experience in back-end development with a focus on data engineering.
Required Skills:
  • Strong proficiency in Spark, Python, Scala, and Java.

* Expertise in SQL and working with relational databases.
* Experience with DataFrames for data manipulation and analysis.
* Experience with cloud technologies (preferably AWS or GCP).
* Experience with message streaming platforms like MSK/Kafka.
* Experience with S3 or similar object storage.
* Experience with data lake technologies like Iceberg.
* Solid understanding of data warehousing concepts.
* Excellent communication and collaboration skills.
Bonus Points:
* Experience with data modeling and schema design.
* Experience with data governance and data quality management.
* Experience with DevOps practices and CI/CD pipelines.
* Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer).

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