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

We help organizations modernise complex technology landscapes, harness the power of data, and build ... Java Full stack, Microsoft, Custom Development) • Disruptive Technologies (Edge Computing/IOT ...

Entry level DevOps Engineer

Sacramento, CA

$56.25 - $77/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. 3-5 years' experience in a Microsoft system admin role supporting systems ...

... data-first approach. Who We're Looking For * 5+ years of professional software engineering experience. * 5+ years experience with JavaScript, Java, NoSQL databases. * Proven experience in full stack ...

... data-first approach. Who We're Looking For * 5+ years of professional software engineering experience. * 5+ years experience with JavaScript, Java, NoSQL databases. * Proven experience in full stack ...

Bigdata Engineer

Sacramento, CA · On-site

$59.50 - $78.75/hr

HTML, Javascript, XML PERL/PHP Adobe FLEX Oracle/MS SQL experience Informatica product suite Java Web Services Qualifications Big Data, HTML, Javascript, XML, Oracle/MS SQL, Data Analytics, Data ...

Dot Net Developer

Sacramento, CA

$51.50 - $68/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. BA/BS degree in computer science, engineering or a related field (experience ...

... and data processing scripts utilizing Python, Rust, C++, C#, or Java to streamline client ... engineering, digital forensics, or equivalent from an accredited college or university is required ...

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Java Data Engineer information

See Sacramento, CA salary details

$28

$64

$90

How much do java data engineer jobs pay per hour?

As of Aug 19, 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 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 Sacramento, CA?

For Java Data Engineer jobs in Sacramento, CA, the most frequently searched job titles 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:

Staff Engineer-Electrical

OTSI

Rancho Cordova, CA

Contractor

Posted 8 days ago


Job description

Object Technology Solutions, Inc (OTSI) has an immediate opening for a Staff Engineer-Electrical Staff Engineer-Electrical (Rancho Cordova, CA) MAJOR RESPONSIBILITES: Function in an engineering capacity. Develop and modify technical deliverables associated with modifications and upgrades on existing hydroelectric generating plants. With minimal supervision, applies advanced engineering techniques and analyses.

Continues building on knowledge to develop concepts and approach more complex engineering problems. Continues developing knowledge and may provide guidance and direction on design guides, standards, systems, applicable engineering codes and client policies. Provides technical guidance to others regarding projects and disciplines.

Independently applies knowledge and complies with client quality program relative to assigned tasks. Prepares a variety of complex engineering deliverables for larger or multiple projects. Performs complex research and develops recommendations for equipment and/or materials selection.

Prepares complex engineering calculations following standard methods and principles. Manages assigned budget, schedule, and quality requirements. Independently applies advanced engineering techniques and analysis problems and methods.

Actively delegates appropriate tasks to lower-level team members to develop depth of project execution staff. Reviews lower level engineering work or assignments. Is responsible for one or more of the following: leading production teams; coordinating multiple discipline activity; and serving as the responsible charge for a project.

Actively coordinates with all other internal/external team members on moderately complex projects. Responsible for assisting with identification of key client interests and drivers on low to moderately complex projects. May design a complete project of moderately complex scope or support multiple projects on the complex technical challenges.

SKILLS AND ABILITIES REQUIRED: Minimum 5 yrs Experience in hydro or fossil power generation plant design. Familiarity with NFPA 70. Familiarity with California Electrical Code.

Experience with power system analysis software such as SKM or ETAP is a plus. Bluebeam PE license preferred QUALIFICATIONS AND EXPERIENCE Requires a bachelor's degree in Electrical engineering from either a recognized accredited program Minimum of 5 years related work experience. PE license preferred.

About Us OTSI is a global technology partner providing enterprise IT consulting, digital solutions, and managed services. We help organizations modernise complex technology landscapes, harness the power of data, and build scalable AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience, we consistently turn complex challenges into success stories through our strong technical capabilities and deep industry knowledge.

Our global team of 1,800+ professionals, spread across 6 countries, delivers cutting-edge solutions for customers across Banking, Financial Services, Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government, Hi-Tech, Telecom & Media, Manufacturing, and more. Our focused technologies are: Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps) QA & Automation (Manual Testing, Non-functional testing, Test Automation, Digital Testing) Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development) Disruptive Technologies (Edge Computing/IOT, Block Chain, AR/VR, Biometric)