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Java Data Engineer Jobs in Maryland (NOW HIRING)

Compugain

Sr. Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Use big data and cloud technologies to produce production quality code * Engage in performance ... Experience with one or more programming languages like Scala, Python, and/or Java * Ability to push ...

Compugain

Sr. Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Use big data and cloud technologies to produce production quality code * Engage in performance ... Experience with one or more programming languages like Scala, Python, and/or Java * Ability to push ...

Cymertek Corporation

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

... Java, Python) • Expertise in data processing frameworks (e.g., Spark) • Skill in working with data storage systems (e.g., HDFS) • Familiarity with data query tools (e.g., SQL) • Ability to ...

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HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

We're data geeks to our core, committed to simplifying the toughest challenges and operating with ... Experience with at least one object-oriented programming language (Python, Java, etc.). * An ...

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We're data geeks to our core, committed to simplifying the toughest challenges and operating with ... Experience with at least one object-oriented programming language (Python, Java, etc.). * An ...

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We're data geeks to our core, committed to simplifying the toughest challenges and operating with ... Experience with at least one object-oriented programming language (Python, Java, etc.). * An ...

Cymertek

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Proficiency in programming (e.g., Java, Python) * Expertise in data processing frameworks (e.g., Spark) * Skill in working with data storage systems (e.g., HDFS) * Familiarity with data query tools ...

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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 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 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
Sr. Data Engineer

Sr. Data Engineer

Compugain

Rockville, MD • On-site

$116K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

Company Description
It all started in 2000. It began with a vision to be a highly dependable Technology centric Human Capital Solutions partner to businesses looking to accelerate outcomes. ... With a passion for helping companies gain freedom from complex business problems, we added a spectrum of tech solutions to our offering.
Job Description
Job Functions:
  • Analyze system requirements and design responsive algorithms and solutions
  • Use big data and cloud technologies to produce production quality code
  • Engage in performance tuning and scalability engineering
  • Work with team, peers and management to identify objectives and set priorities
  • Perform related SDLC engineering activities like sprint planning and estimation
  • Work effectively in small agile teams
  • Provide creative solutions to problems
  • Identify opportunities for improvement and execute

Qualifications
Essential skills:
  • Experience with cloud based Big Data technologies
  • Proficiency in Hive / Spark SQL
  • Experience with Spark
  • Experience with one or more programming languages like Scala, Python, and/or Java
  • Ability to push the frontier of technology and independently pursue better alternatives

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

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