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Java Data Engineer Jobs in Washington, DC (NOW HIRING)

RIVIDIUM

Data Engineer

Quantico, VA

$123K - $148K/yr

Proficiency in SQL and programming languages such as Python, Java, R, or Scala * Experience working with large, complex, and heterogeneous datasets * Strong understanding of data modeling, schema ...

Palnar

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Jenkins, Snowflake, Databricks, AWS, Lead software engineer/data engineer with experience in ... Have the ability to read and understand code in Scala, GoLang, Python. familiar with PySpark/Java ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency in SQL and strong programming skills in Python, Rust, or Java * Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency in SQL and strong programming skills in Python, Rust, or Java * Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark ...

Gigatec Engineering

Data Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... this Data focused Software Engineering role, you'll orchestrate complex operational data flows ... Experience designing and implementing Java solutions * Experience with Apache NiFi system ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

Strong programming skills in languages such as Python, Java, or Scala. * Knowledge of database systems and SQL. * Familiarity with data warehousing concepts and tools. * Experience with ETL tools and ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency in SQL and strong programming skills in Python, Rust, or Java * Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Strong programming skills in languages such as Python, Java, or Scala. * Knowledge of database systems and SQL. * Familiarity with data warehousing concepts and tools. * Experience with ETL tools and ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Proficiency in Python or Java for data manipulation and scripting. • Data Warehousing ... Azure Data Engineer Associate • Google Cloud Certified Professional Cloud Data Engineer • IBM ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Programming Languages: Proficiency in Python or Java for data manipulation and scripting. * Data Warehousing: Understanding of data warehousing concepts and experience with data warehouse ...

Guidehouse

Data Engineer

Mclean, VA

$102K - $170K/yr

Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust ... Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as ...

Nwis

Data Engineer

Sterling, VA

$113K - $136K/yr

Programming Languages: Proficiency in Python or Java for data manipulation and scripting. * Data Warehousing: Understanding of data warehousing concepts and experience with data warehouse ...

Anivas Tech LLC

Data Engineer

Upper Marlboro, MD · On-site

$113K - $136K/yr

Proficiency in SQL and at least one scripting/programming language (Python, Scala, or Java) * Experience with data integration tools and platforms (e.g., Apache Spark, Kafka, Airflow, or equivalent)

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as ...

Guidehouse

Data Engineer

Mclean, VA

$102K - $170K/yr

Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust ... Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as ...

Syndicus, Inc.

Data Engineer

Columbia, MD · On-site

$170K/yr

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 ...

GIGATEC Engineering

Data Engineer

Annapolis Junction, MD · On-site

$117K - $140K/yr

... this Data focused Software Engineering role, you'll orchestrate complex operational data flows ... Experience designing and implementing Java solutions * Experience with Apache NiFi system ...

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as ...

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as ...

Level Up Llc

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL * Knowledge of data ingestion, transformation ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Washington, DC

Java Data Engineer information

See Washington, DC salary details

$30

$68

$96

How much do java data engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for java data engineer in Washington, DC is $68.44, according to ZipRecruiter salary data. Most workers in this role earn between $56.35 and $77.31 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, 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 Washington, DC? For Java Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Washington, DC look for? The top searched job categories for Java Data Engineer jobs in Washington, DC are:
Java Data Engineer jobs near you
Data Engineer

Data Engineer

RIVIDIUM

Quantico, VA

$123K - $148K/yr

Full-time

Re-posted 21 days ago

Job description

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines for structured and unstructured data
  • Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based solutions
  • Build and maintain data warehouse environments and support data modeling efforts
  • Ensure data quality, integrity, security, and compliance across all data systems
  • Collaborate with data scientists, data architects, and stakeholders to deliver data solutions
  • Support and operationalize machine learning models and analytics workflows
  • Develop and maintain APIs for data access and integration
  • Monitor and troubleshoot data infrastructure to ensure performance and reliability
  • Implement automation using metadata management and modern data engineering practices
  • Provide ad hoc data analysis and support self-service data access for stakeholders
  • Design and maintain reporting and dashboarding infrastructure
  • Promote best practices in data engineering, governance, and data lifecycle management
  • Support data tagging, metadata management, and enterprise data governance initiatives
  • Assist in developing data-related policies, documentation, and system requirements
  • Research and recommend improvements to modernize data architecture, including cloud adoption

Minimum Qualifications:

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Information Systems, or a related quantitative field
    • Equivalent work experience may be considered in lieu of a degree
  • Minimum of ten (10) years of IT experience, including at least six (6) years in data engineering or related disciplines
  • Strong experience designing and optimizing data pipelines and architectures
  • Expertise in ETL/ELT processes, data integration, and data warehousing concepts
  • Proficiency in SQL and programming languages such as Python, Java, R, or Scala
  • Experience working with large, complex, and heterogeneous datasets
  • Strong understanding of data modeling, schema design, and metadata management
  • Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments
  • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines
  • Familiarity with message queuing, stream processing, and real-time data integration technologies
  • Strong analytical, problem-solving, and communication skills

Core Competencies:

  • Ability to design and optimize scalable, high-performance data systems
  • Strong collaboration skills across technical and business teams
  • Expertise in data governance, data quality, and data security practices
  • Ability to translate business requirements into technical data solutions
  • Adaptability in working with evolving technologies and complex environments

Clearance Requirement:

  • TS/SCI clearance required at contract start

Preferred Qualifications:

  • Experience supporting Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
  • Familiarity with federal data governance and compliance requirements
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik
  • Cloud certifications (AWS, Azure, or GCP)
  • Experience with NoSQL, Hadoop, or big data ecosystems
  • Experience collaborating with data science teams to operationalize machine learning models

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