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Java Data Engineer Jobs (NOW HIRING)

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Company Description Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud

Millennium Group

Sr Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Company Description Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Role:-Data Engineer Position type: Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional

Solovis

Manager, Data Engineering

Manager, Data Engineering Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence. Backed

Jobsbridge

Java Big Data Engineer

Cupertino, CA

$68.75 - $91/hr

Company Description Hello, Greetings from Jobsbridge ! Jobsbridge, Inc . is a fast growing Silicon Valley based I.T staffing and professional services company specializing in Web, Cloud & Mobility

Jobsbridge

Java Big Data Engineer

Cupertino, CA

$68.75 - $91/hr

Company Description Hello, Greetings from Jobsbridge ! Jobsbridge, Inc . is a fast growing Silicon Valley based I.T staffing and professional services company specializing in Web, Cloud & Mobility

Opexpert

Java Software Engineer

Greenwich, CT · On-site

$58 - $79.75/hr

Company Description My Client is headquartered in Greenwich, Connecticut and has over 1,200 employees in its offices in the USA, Switzerland, Canada, Hong Kong, UK, Australia, Hungary, Russia, Japan,

K-Tek Resourcing LLC

Java/Scala Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Senior Java/Scala Big Data Engineer Location: Sunnyvale, CA or Austin, TX Candidate Type: Hands-on technical coder Core requirements * Strong hands-on Java and/or Scala development * Apache Spark

IMC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. The Data Engineer will leverage their development skills and experience to support the

Lorven Technologies

Data Engineer

$117K - $140K/yr

Hi, Our client is looking for a Data Engineer for Remote below is the detailed requirement. Job Title: Data Engineer Location: Remote Role Job Description: * Bachelor's degree in related field. *

Reveille Technologies

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

ONLY LOCAL CANDIDATES - FACE TO FACE INTERIVEW MUST Title: AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Minimum 6 to 12 years of experience as data engineer in AI ML. *

Opexpert

Java Software Engineer

Greenwich, CT · On-site

$58 - $79.75/hr

Company Description My Client is headquartered in Greenwich, Connecticut and has over 1,200 employees in its offices in the USA, Switzerland, Canada, Hong Kong, UK, Australia, Hungary, Russia, Japan,

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. The Data Engineer will leverage their development skills and experience to support the

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Java Data Engineer information

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How much do java data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for java data engineer in the United States is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.27 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.

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Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,681 per year, or $60.4 per hour.

Data Engineer

Tredence Analytic

Chicago, IL

$118K - $141K/yr

Full-time

Re-posted 28 days ago

Job description

Company Description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.

Job Description

We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Essential Responsibilities

  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.
    Qualifications
    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • At least 3 years of proven experience as a Data Engineer.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Additional Information

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

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