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Java Data Engineer Jobs in Baltimore, MD (NOW HIRING)

T Rowe Price

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of ... Strong proficiency in Python (preferred), Java, or Scala. * Experience with cloud data platforms ...

T. Rowe Price Associates, Inc.

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of ... Strong proficiency in Python (preferred), Java, or Scala. * Experience with cloud data platforms ...

Leidos

Senior Data Engineer

Silver Spring, MD · On-site

$131K - $237K/yr

Python or Java for data engineering and automation. You will wow us even more if you have some of these skills: * Experience supporting AI/ML and data science workflows. Apache Kafka or similar ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Baltimore, MD

Java Data Engineer information

See Baltimore, MD salary details

$26

$60

$84

How much do java data engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for java data engineer in Baltimore, MD is $60.04, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $67.84 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?

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 Baltimore, MD? For Java Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Baltimore, MD look for? The top searched job categories for Java Data Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Java Data Engineer jobs? Cities near Baltimore, MD with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $124,882 per year, or $60 per hour.

Senior Software Engineer

Bigbear.ai

Annapolis Junction, MD

$114K - $228K/yr

Full-time

Re-posted 10 days ago

Job description

Overview

Software Engineer - Data Visualization
Location:

Annapolis Junction, MD (On-Site)


Clearance Required: TS/SCI with Poly

Are you ready to showcase your skills and develop cutting-edge visualizations that make a real impact? BigBear.ai is seeking a Software Engineer to join our team and build innovative visualizations from complex data sets in a highly collaborative environment. This is your opportunity to work on a high-profile contract providing operations research, modeling, and simulation services to support Agency operations. If you thrive in fast-paced environments, enjoy solving complex problems, and want to work on innovative solutions, we want to hear from you!


Responsibilities

  • Develop & Implement: Build and support the usage of a data visualization toolkit, including configuration, deployment, and usage.
  • Backend Engineering: Work on APIs, services, and data processing pipelines using Python or Java.
  • Data-Heavy Visualizations: Create multi-dimensional, time-series, cascading, and drill-down visualizations for analytics platforms and monitoring tools.
  • Full-Stack Development: Build and consume REST APIs, ensuring seamless frontend-backend integration.
  • Database Management: Work with relational databases (e.g., MySQL, PostgreSQL) to handle structured data, complex queries, and analytics workloads.
  • Linux Environment: Deploy, debug, and operate services in real-world production environments.

Qualifications

  • Experience: Technical BS and 14+ years of experience in software engineering.
  • Clearance: Active TS/SCI with Poly (required).
  • Technical Expertise:
    • Proficiency in Python or Java for backend development.
    • Proven experience building multi-dimensional visualizations, including time-series, cascading, and drill-down interfaces.
    • Full-stack development experience using REST APIs.
    • Hands-on experience with relational databases (e.g., MySQL, PostgreSQL).
    • Strong background developing in Linux environments.