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

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Java, Python, Scala, Snowflake, Azure Blob, Azure Data Factory, Azure Functions, Azure SQL. Azure ...

Design, develop, and maintain Java-based backend services and APIs that support core platform ... data storage paradigms Proficiency in Scala, Go, or Python as complementary programming languages ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Skills required: * Cosmos SQL experience Azure Power BI * Knowledge of Azure Data ... Java, Python, Scala, Snowflake

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer III

Seattle, WA · On-site

$130K - $156K/yr

Hands-on experience with technologies and infrastructure commonly used for end-to-end data engineering at Expedia, such as SQL, Python or Java, Spark, Hive, Trino, Querybook, Airflow, Jupyter ...

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role Overview This role supports a compliance solutions team by combining data engineering and ... Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services ...

Data Engineer III

Bellevue, WA · On-site

$53 - $72/hr

Data Engineer Bellevue, WA (Onsite) 15 month contract with possible extensions $53-72/hr ABOUT THIS ... Python, Java, or TypeScript with demonstrated ability to write production- quality code • ...

Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform * Own data modeling and database design decisions, establishing best ...

Senior Data Engineer

Bellevue, WA · On-site

$119K - $161K/yr

... Java, or similar languages. • Familiarity with Spark-based data processing. • Solid ... You stay current on data engineering patterns, tooling, and best practices and apply them ...

As such they get exposure to all aspects of our data engineering infrastructure and applications including Spark jobs, Java-based real-time event processing, and large-scale data warehousing. In this ...

Data Engineer, NAST-CX Tech

Bellevue, WA · On-site

$129K - $155K/yr

As a Data Engineer, you will be working in one of the world's largest and most complex data ... Java, Scala, or NodeJS - Experience mentoring team members on best practices PREFERRED ...

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Java. You are required to support and manage growth of these data solutions. You must be a self ... Key job responsibilities As a Data Engineer in Amazon Business team, you will be working in one of ...

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Java. You are required to support and manage growth of these data solutions. You must be a self ... Key job responsibilities As a Data Engineer in Amazon Business team, you will be working in one of ...

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

... Java, Scala, or NodeJS - Experience with data modeling, warehousing and building ETL pipelines ... engineering, mathematics or equivalent PREFERRED QUALIFICATIONS - Experience with big data ...

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

The PXT Central Science team is looking for a Data Engineer. This individual will join a team of ... Java, Scala, or NodeJS - Experience with data modeling, warehousing and building ETL pipelines ...

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Java Data Engineer information

See Seattle, WA salary details

$30

$68

$97

How much do java data engineer jobs pay per hour?

As of Jul 8, 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 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 Seattle, WA? For Java Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
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:
Infographic showing various Java Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $143,029 per year, or $68.8 per hour.
Data Engineer

Data Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Re-posted yesterday


Job description

Job Title: Data Engineer
Location: Bellevue, WA
Job Type: Onsite/Remote: Hybrid

Job Description:

  • Experience in Synapse with PySpark
  • Knowledge of Big Data pipelines, Data Engineering
  • Working Knowledge of the MSBI stack on Azure
  • Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage
  • Hands-on in Visualisation like Power BI
  • Implement end-to-end data pipelines using Cosmos Azure Data Factory
  • Should have good analytical thinking and problem-solving skills
  • Good communication and coordination skills
  • Able to work as an Individual contributor
  • Requirement Analysis
  • Create, Maintain, and Enhance Big Data Pipeline
  • Daily status reporting, interacting with Leads
  • Version control ADOGIT CICD
  • Marketing Campaign experiences
  • Data Platform Product telemetry Analytical thinking
  • Data Validation of the new streams
  • Data quality check of the new streams
  • Monitoring of the data pipeline created in Azure Data Factory
  • Updating the Tech spec and wiki page for each implementation of the pipeline
  • Updating ADO on a daily basis

Mandatory Skills: Java, Python, Scala, Snowflake, Azure Blob, Azure Data Factory, Azure Functions, Azure SQL. Azure Synapse Analytics, Azure Data Lake, ANSI-SQL, Databricks, HDInsight


Good to Have Skills: Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE