Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
Strong proficiency in Scala or Java. You should be comfortable building production-grade ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:
Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
Strong proficiency in Scala or Java. You should be comfortable building production-grade ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:
... of CI/CD pipelines and DevOps practices; coding using groovy scripts to configure the test ... Should be able to develop and enhance automation (Java, Junit/TestNg, Cucumber, etc.) A Vital ...
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... of CI/CD pipelines and DevOps practices; coding using groovy scripts to configure the test ... Should be able to develop and enhance automation (Java, Junit/TestNg, Cucumber, etc.) A Vital ...
Test Automation Architect : Auburn Hills, MI, 48321 : (Only w2 consultants )
Auburn Hills, MI · On-site
Deep understanding of CI/CD pipelines and DevOps practices; coding using groovy scripts to ... Experience with cloud platforms (AWS, Azure, GCP); Exposure to Kubernetes/ docker microservice is a ...
Quick apply
Test Automation Architect : Auburn Hills, MI, 48321 : (Only w2 consultants )
Auburn Hills, MI · On-site
Deep understanding of CI/CD pipelines and DevOps practices; coding using groovy scripts to ... Experience with cloud platforms (AWS, Azure, GCP); Exposure to Kubernetes/ docker microservice is a ...
Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go). * Familiarity with cloud platforms, preferably Google Cloud Platform (GCP). * Knowledge of data ...
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Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go). * Familiarity with cloud platforms, preferably Google Cloud Platform (GCP). * Knowledge of data ...
Java Developer Gcp information
See Davison, MI salary details
$14.15 - $19.24
0% of jobs
$19.24 - $24.33
0% of jobs
$24.33 - $29.42
1% of jobs
$29.42 - $34.50
3% of jobs
$34.50 - $39.59
6% of jobs
$39.59 - $44.68
14% of jobs
$44.88 is the 25th percentile. Wages below this are outliers.
$44.68 - $49.76
20% of jobs
The median wage is $51.04 / hr.
$49.76 - $54.85
23% of jobs
$57.02 is the 75th percentile. Wages above this are outliers.
$54.85 - $59.94
18% of jobs
$59.94 - $65.03
11% of jobs
$65.03 - $70.11
4% of jobs
$14
$51
$70
How much do java developer gcp jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for java developer gcp in Davison, MI is $51.36, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $57.50 per hour, depending on experience, location, and employer.
What are the roles and responsibilities of a Java developer GCP?
A Java Developer GCP is a software engineer who specializes in building, deploying, and maintaining Java applications on Google Cloud Platform (GCP). Their responsibilities typically include developing cloud-native applications, integrating Java code with GCP services (such as Cloud Functions, App Engine, and Cloud Storage), and ensuring applications are secure, scalable, and efficient. They also work on CI/CD pipelines, troubleshoot cloud deployment issues, and collaborate with other teams to optimize cloud resources. Familiarity with Java frameworks (like Spring Boot) and GCP tools is essential for this role.
What are the key skills and qualifications needed to thrive as a Java developer GCP?
To thrive as a Java Developer GCP, you need strong proficiency in Java programming, experience with cloud computing concepts, and a solid understanding of Google Cloud Platform (GCP) services. Familiarity with tools like Cloud Functions, BigQuery, Kubernetes, and relevant GCP certifications such as the Professional Cloud Developer are highly valuable. Excellent problem-solving abilities, adaptability, and effective communication help you work collaboratively in dynamic, cloud-based environments. These skills are crucial to building scalable, efficient, and secure cloud applications that meet organizational needs.
What are some common challenges Java developers face when working with Google Cloud Platform (GCP)?
Java Developers working with GCP often encounter challenges such as optimizing application performance in a cloud-native environment, ensuring secure integration with various GCP services, and adapting to frequent updates in cloud technologies. Navigating GCP’s managed services like Cloud Functions, Pub/Sub, and BigQuery requires a solid understanding of both Java best practices and cloud architecture. Additionally, collaboration with DevOps teams is essential for successful deployment and scaling, making strong communication and problem-solving skills highly valuable.
What is the difference between Java Developer Gcp vs Java Developer AWS?
| Aspect | Java Developer Gcp | Java Developer AWS |
|---|---|---|
| Certifications | Google Cloud certifications (e.g., Professional Cloud Developer) | AWS certifications (e.g., AWS Certified Developer) |
| Work Environment | Google Cloud Platform services, GCP-specific tools | Amazon Web Services, AWS-specific tools |
| Industry Usage | Organizations using GCP infrastructure | Organizations using AWS infrastructure |
| Common Search Intent | Comparing GCP-based Java roles with AWS-based roles |
Java Developer Gcp and Java Developer AWS are similar roles focusing on Java development within cloud environments. The main difference lies in the cloud platform used: GCP versus AWS. Both roles require Java expertise and cloud certifications, but they specialize in different cloud services and tools. Your choice depends on the employer's cloud infrastructure and your certification preferences.
What cities near Davison, MI are hiring for Java Developer Gcp jobs?
Cities near Davison, MI with the most Java Developer Gcp job openings:
Data Engineer
Auburn Hills, MI • On-site
Stellantis •
IT Services
$108K - $130K/yr
Full-time
Re-posted 8 days ago
Stellantis rating
7.5
Based on 131 frontline employees who took The Breakroom Quiz
13th of 45 rated automakers
Job description
Job Summary:
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time, ensuring scalable and reliable data architecture.
Responsibilities:
• Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
• Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
• Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
• CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
• Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
• Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.
Qualifications:
Required:
• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
• 5+ years of experience in the data engineering and software development life cycle.
• 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
• 4+ years of hands-on experience working with AWS cloud services
• Comprehensive experience with one or more programming languages such as Python, Java, or Rust
• Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
• Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
• Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Experience with designing and implementing real-time pipelines
• Experience with data quality and validation
• Experience with API design
• Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
• Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
• SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
• DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
• Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying 'Clean Code' principles to data engineering.
• Stream Processing: Experience with Apache Flink for low-latency stream processing.
• Scripting: Proficiency in Python for automation, data analysis, or scripting.
• Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
• Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.
Preferred:
• Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
• Expert knowledge and experience with custom ETL design, implementation and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Certification in AWS or other cloud providers
• Experience with Databricks notebook workflows
• Experience with Terraform
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time, ensuring scalable and reliable data architecture.
Responsibilities:
• Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
• Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
• Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
• CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
• Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
• Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.
Qualifications:
Required:
• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
• 5+ years of experience in the data engineering and software development life cycle.
• 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
• 4+ years of hands-on experience working with AWS cloud services
• Comprehensive experience with one or more programming languages such as Python, Java, or Rust
• Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
• Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
• Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Experience with designing and implementing real-time pipelines
• Experience with data quality and validation
• Experience with API design
• Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
• Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
• SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
• DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
• Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying 'Clean Code' principles to data engineering.
• Stream Processing: Experience with Apache Flink for low-latency stream processing.
• Scripting: Proficiency in Python for automation, data analysis, or scripting.
• Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
• Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.
Preferred:
• Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
• Expert knowledge and experience with custom ETL design, implementation and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Certification in AWS or other cloud providers
• Experience with Databricks notebook workflows
• Experience with Terraform
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.
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About Stellantis
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