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Java Data Engineer Jobs in Maryland (NOW HIRING)

INTELLIPLACERS, LLC

AWS Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Data Engineer Location: Baltimore City, MD (Hybrid) Duration: 12+ months project with 1 one-year ... Strong coding skills in Python and SQL (Scala or Java a plus). * Proven experience with Apache ...

WILLCOR, Inc

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

WILLCOR, Inc is seeking a Data Engineer who will be responsible for designing and maintaining ... Java, Shell, Perl, Python, C++ • Three years of practical work experience building data pipelines ...

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 ...

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 ...

Inframatix Inc

Big Data Engineer

Chevy Chase, MD · 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 ...

Inframatix Inc

Big Data Engineer

Chevy Chase, MD · 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 ...

Georgia IT, Inc.

Data Engineer- Baltimore, MD

Baltimore, MD · On-site

$113K - $136K/yr

Job Summary : Georgia IT, Inc. is seeking a Data Engineer for a contract position. The role ... Experience in Java, Springboot would be an added advantage Company : Georgia IT, Inc. provides ...

BOOZ, ALLEN & HAMILTON, INC.

$62K - $141K/yr

You Have: * 2+ years of experience utilizing programming languages, including C++, Java, or Python * 2+ years of experience developing and maintaining scalable data stores that supply big data in ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · 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

J&T Business Consulting

$200 - $250/hr

Senior Full Stack Java/Angular Software Engineer (TS/SCI Clearance with Full Scope Polygraph ... Develop robust back-end integrations leveraging Spring MVC, Spring Data, Spring Security, JMS, and ...

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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, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AWS Data Engineer

Baltimore, MD • On-site

INTELLIPLACERS, LLC
See more jobs at INTELLIPLACERS, LLCexternal

$113K - $136K/yr

Other

Posted 14 days ago

Key responsibilities

  • Design, code, and deploy ETL/ELT pipelines across different layers of the Data Lakehouse.

  • Build ingestion and transformation pipelines for structured, semi-structured, and unstructured healthcare data, including EDI X12 transactions and FHIR/HL7 formats.

  • Develop automated data validation scripts, implement security measures, and maintain data lineage and governance documentation.

Job description

Role: Data Engineer
Location: Baltimore City, MD (Hybrid)
Duration: 12+ months project with 1 one-year renewal option
Job Description:

Hands-On Data Pipeline Development

  • Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.
  • Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.
  • Implement incremental loads, deduplication, error handling, and data validation.
  • Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.

EDW & Data Lake Implementation

  • Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
  • Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.
  • Optimize partitioning, indexing, and metadata for fast query performance.

Healthcare Data Integration

  • Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).
  • Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.
  • Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.

Data Quality, Security & Compliance

  • Develop automated validation scripts to enforce data quality and integrity.
  • Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards.
  • Maintain lineage and governance documentation for all pipelines.

Collaboration & Delivery

  • Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.
  • Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.
  • Continuously improve pipelines and adopt new technologies where appropriate.
Minimum Qualification:

Specialized experience: The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.

  • 3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
  • Strong coding skills in Python and SQL (Scala or Java a plus).
  • Proven experience with Apache Spark (PySpark) for large-scale processing.
  • Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
  • Strong debugging and performance optimization skills in distributed systems.
  • Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
  • Experience with Airflow or other pipeline orchestration frameworks.
  • Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
  • Practical experience with EDI X12, HL7, or FHIR data formats.
  • Strong understanding of Medallion Architecture for data lake houses.
  • Hands-on experience building dimensional models and data warehouses.
  • Working knowledge of HIPAA and CMS interoperability requirements.

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