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Java Data Engineer Jobs in Maryland (NOW HIRING)

Inframatix Inc

Big Data Engineer

Chevy Chase, MD ยท On-site

$59.50 - $78.75/hr

Big Data Engineer Start Date: ASAP Location: Chevy Chase, MD Duration: 12--24+ Month Contract Mode ... Java OR Spark โ€ข 3 years of hands-on experience in Data Warehousing AND Data Marts AND Data ...

Inframatix Inc

Big Data Engineer

Chevy Chase, MD ยท On-site

$59.50 - $78.75/hr

Big Data Engineer Start Date: ASAP Location: Chevy Chase, MD Duration: 12--24+ Month Contract Mode ... Java OR Spark 3 years of hands-on experience in Data Warehousing AND Data Marts AND Data ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD ยท Hybrid

$113K - $136K/yr

Strong proficiency in Python, SQL, Java. * Experience with cloud data warehouses such as Snowflake ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

Syndicus NACON

Data Engineer with Security Clearance

Columbia, MD ยท On-site

$182K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... Java: Experience with Java, including unit and integration testing. Python: Experience with Python ...

Bigbear.ai

Senior Software Engineer

Annapolis Junction, MD ยท On-site

$114K - $228K/yr

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 ...

T Rowe Price

AI Data Engineer

Baltimore, MD ยท Hybrid

$113K - $136K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

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Java Data Engineer information

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 Maryland?

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

What job categories do people searching Java Data Engineer jobs in Maryland look for?

The top searched job categories for Java Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Java Data Engineer jobs?

Cities in Maryland with the most Java Data Engineer job openings:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Scientist with Security Clearance

Ascension Federal Services Inc

Fort George G Meade, MD โ€ข On-site

Other

Posted 22 days ago

Job description

Senior Data Scientist Location: Fort Meade, MD, 20701 CLEARANCE: TS/SCI W/ FULL SCOPE POLYGRAPH (Will sponsor if active TS or above) Job Description: We are seeking a highly skilled Senior Data Scientist to join our team in Fort Meade, MD. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to complex business problems. Responsibilities: * Lead the design and implementation of data science projects * Develop predictive models and algorithms to drive business decisions * Analyze large datasets to uncover insights and trends * Collaborate with cross-functional teams to identify opportunities for data-driven solutions * Communicate findings and recommendations to stakeholders Requirements: * Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field * 10+ years of experience in data science or related field * Proficiency in programming languages such as Python, R, or Java * Data visualization tools (e.g., Power BI, Tableau) * Experience with machine learning, statistical analysis, and data mining techniques. * Developing AI/ML tools for operational use * Experience with machine learning techniques and algorithms * Strong analytical and problem-solving skills * Excellent communication and presentation abilities

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