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Java Data Engineer Jobs in Seattle, WA (NOW HIRING)

Data Migration Lead

Seattle, WA · On-site

$125 - $150/hr

Experience with modern development languages such as Java, C#, Python, and/or NodeJS. * Familiarity ... Azure Data Engineer Associate * Certified Data Management Professional (CDMP) * Snowflake ...

Experience with modern development languages such as Java, C#, Python, and/or NodeJS. * Familiarity ... Azure Data Engineer Associate * Certified Data Management Professional (CDMP) * Snowflake ...

Data Migration Lead

Seattle, WA · On-site

$90 - $105/hr

Experience with modern development languages such as Java, C#, Python, and/or NodeJS. * Familiarity ... Azure Data Engineer Associate * Certified Data Management Professional (CDMP) * Snowflake ...

Java Senior Engineer Development

Seattle, WA · On-site

$142K - $187K/yr

Role: Java Senior Engineer Development Location: Seattle, WA - Onsite Type: Full-time * 5-7 years ... You understand a broad range of data models and know how, when and when not to use them. Preferred ...

Senior Java Lead Developer Location: Bellevue, WA Let's create our future together at The AES Group ... Design data models and develop queries using Cassandra. * Configure and manage APIs using Apigee ...

Senior Java Lead Developer Location: Bellevue, WA Let's create our future together at The AES Group ... Design data models and develop queries using Cassandra. * Configure and manage APIs using Apigee ...

Mentor and guide data architects, engineers, analysts, and technical teams. Required Qualifications ... Experience with Java, C#, Python, NodeJS, and/or comparable technologies. * Strong understanding of ...

Java Full Stack Engineer

Issaquah, WA · On-site

$60.50 - $78.25/hr

Role-Java Full Stack Engineer +Spring Boot + React + GCP Location- Issaquah, WA (Hybrid ) Duration ... Work with databases such as Cloud Spanner for data storage and retrieval * Support deployment ...

Enterprise Data Lead

Seattle, WA · On-site

$95 - $110/hr

Mentor and guide data architects, engineers, analysts, and technical teams. Required Qualifications ... Experience with Java, C#, Python, NodeJS, and/or comparable technologies. * Strong understanding of ...

SDE - Java Developer

Redmond, WA · On-site

$57 - $74/hr

Damco Solutions is seeking a Software Development Engineer to design and implement communication ... and relevant data models • Collaborate with engineers across the organization to gather ...

Sr. Software Engineer (Java)

Seattle, WA · On-site

$142K - $187K/yr

Type: Sr. Software Engineer (Java) Location: Seattle, WA Openings: 1 Type: Long-term Contract ... Experience with data encoding and compression techniques * Experience using Agile/Scrum ...

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ...

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ...

Showing results 41-60

Java Data Engineer information

See Seattle, WA salary details

$30

$68

$97

How much do java data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for java data engineer in Seattle, WA is $68.76, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $77.69 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 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 job categories do people searching Java Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Java Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Java Data Engineer jobs?

Cities near Seattle, WA with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $143,029 per year, or $68.8 per hour.

Data Migration Lead

Seattle, WA • On-site

$125 - $150/hr

Other

Posted 14 days ago


Job description

Contract Type: 1099 Independent Contractor (Individual Consultant Only) | C2C: Not Accepted

Location: Remote, U.S. Based; must be willing and able to work onsite in Washington State as required

Schedule: Part-Time, approximately 20 hours/week

Compensation: $90–$105/hour, depending on experience and relevant certifications

Position Overview

REV is seeking an experienced Data Migration Lead to provide technical leadership for large-scale data migration and conversion activities supporting a major enterprise modernization initiative.

The Data Migration Lead will develop migration strategy and roadmaps, establish mapping and transformation approaches, oversee data quality and reconciliation, and ensure legacy data is accurately and securely transitioned into modern platforms.

Responsibilities
  • Develop enterprise data migration strategy, approach, and roadmap.
  • Define migration requirements, data selection rules, sequencing, and cutover strategies.
  • Partner with business SMEs to validate migration readiness and sequencing.
  • Lead data profiling, mapping, cleansing, transformation, validation, and reconciliation activities.
  • Define conversion specifications and transformation logic.
  • Coordinate migration defects, reconciliation activities, and audit trails.
  • Partner with data architecture, integration, application, and development teams.
  • Evaluate migration tools, automation approaches, and cloud platform capabilities.
  • Establish data quality checkpoints throughout migration cycles.
  • Support UAT planning and data-dependent test execution.
  • Develop and maintain migration runbooks, mapping sheets, conversion logs, and reconciliation procedures.
  • Define go/no-go criteria and rollback procedures.
  • Support migration cutover planning and execution.
  • Identify migration risks, dependencies, and technical issues.
  • Provide recommendations for complex migration problems and root-cause analysis.
  • Lead knowledge-transfer activities and mentor technical teams.
Required Qualifications
  • Bachelor's degree is required.
  • Bachelor's degree must include at least 12 semester hours or 18 quarter hours of computer science coursework.
  • Candidate must be able to provide documentation verifying the degree and specific computer science coursework completed if requested.
  • 7+ years of professional IT experience involving data analysis, system analysis, development, databases, data migration, or related technical disciplines.
  • 5+ years of hands‑on Data Migration, Data Conversion, Data Architecture, or comparable senior data leadership experience.
  • Demonstrated experience leading large‑scale data migration or conversion programs.
  • Strong experience with data profiling, mapping, cleansing, transformation, validation, reconciliation, and conversion readiness.
  • Experience developing migration strategies, roadmaps, cutover plans, and migration runbooks.
  • Experience with legacy system modernization and migration into modern/cloud platforms.
  • Strong SQL experience.
  • Experience with NoSQL and cloud data technologies.
  • Experience with APIs, ETL/ELT, messaging, event‑driven pipelines, and service‑oriented architectures.
  • Experience with Azure, AWS, and/or GCP.
  • Experience with modern development languages such as Java, C#, Python, and/or NodeJS.
  • Familiarity with Docker and Kubernetes.
  • Strong understanding of data quality, governance, security, privacy, and regulatory requirements.
  • Experience with authentication, authorization, encryption, and Zero Trust principles.
  • Strong analytical, problem‑solving, communication, and stakeholder‑management skills.
  • Must be comfortable working as an individual 1099 Independent Contractor.
  • Must be willing and able to work onsite in Washington State as required.
  • Must be able to complete required background screening, security training, confidentiality requirements, and system‑access requirements.
Preferred Certifications

One or two relevant current certifications are preferred and may be considered when determining compensation within the posted range:

  • Microsoft Certified: Azure Data Engineer Associate
  • Certified Data Management Professional (CDMP)
  • Snowflake certification
  • Google Cloud Professional Data Engineer
  • Other current data migration, data engineering, or cloud certifications may be considered.
  • Preferred Experience
  • Mainframe-to-cloud migrations.
  • Large‑scale enterprise data conversion.
  • Workers' compensation, insurance, financial, healthcare, or other highly regulated data environments.
  • Complex legacy modernization.
  • Automated migration tooling and reconciliation.
  • Enterprise MDM and reference data.
  • Public‑sector modernization programs.
  • Migration programs involving sensitive or regulated data.
Engagement Requirements

This is a part‑time, approximately 20‑hour‑per‑week 1099 Independent Contractor engagement.

The engagement is primarily remote; however, the consultant must be willing and able to report onsite in Washington State when required by the client/program.

C2C submissions will not be accepted. This opportunity is for individual independent contractors only.

Equal Opportunity Employer Statement

REV is an Equal Opportunity Employer. We are committed to providing equal employment and contracting opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status.

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