Software Engineer, Platform Systems – SDV/FNV

Jobtailor; Dearborn (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking a data architect to design, implement, and operate scalable data pipelines and microservices on Google Cloud Platform. The role emphasizes real-time and batch processing, data governance, and security across the data platform.

You will collaborate with data architects and software engineers to standardize data for analytics, integrate diverse data sources, and enhance system performance and reliability across front-end and back-end components.

Qualifications

• Bachelor’s degree or foreign equivalent in software, electrical, computer, or related engineering field.
• 3 years of experience in the job offered or related occupation.
• 3 years of experience utilizing GitHub for source code management.
• 1 year of experience integrating front-end and back-end components.
• 1 year of experience utilizing container technologies to deploy services.
• 1 year of experience automating processes to improve reliability and efficiency.
• Must be legally authorized to work in the United States.
• Must live within a reasonable commuting distance from the Dearborn worksite.

Responsibilities

• Architect, develop, and maintain scalable data pipelines and microservices on GCP for real-time and batch processing.
• Design and implement service-oriented and microservices-based architectures.
• Integrate front-end and back-end components for robust data access and UI-driven data exploration.
• Lead ingestion and integration of data from various sources into the data platform.
• Standardize and optimize data for analytics.
• Utilize GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions to build and manage data platforms.
• Implement and manage data governance, access controls, and security best practices.
• Leverage GCP row- and column-level security features.
• Monitor and improve performance, scalability, and efficiency of data pipelines and storage solutions.
• Collaborate with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks.
• Automate data platform processes to improve reliability and reduce manual intervention.

Skills

GCP Data Pipeline Development

Microservices Architecture

Data Governance Implementation

GitHub Source Code Management

Container Technologies

Education

Bachelor's degree in Software Engineering / Computer Engineering / related field

Tools

GitHub

GCP

Job description

• Architect, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing on GCP
• Design and implement service-oriented and microservices-based architectures
• Integrate front-end and back-end components for robust data access and UI-driven data exploration
• Lead ingestion and integration of data from various sources into the data platform
• Standardize and optimize data for analytics
• Utilize GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions to build and manage data platforms
• Implement and manage data governance, access controls, and security best practices
• Leverage GCP row- and column-level security features
• Monitor and improve performance, scalability, and efficiency of data pipelines and storage solutions
• Collaborate with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks
• Automate data platform processes to improve reliability, reduce manual intervention, and increase operational efficiency

Requirements

• Bachelor’s degree or foreign equivalent in Software Engineering, Electric Engineering, Mathematics, Electronics Engineering, Electrical Engineering, Computer Engineering, or a related field
• 3 years of experience in the job offered or a related occupation
• 3 years of experience utilizing GitHub for source code management
• 1 year of experience leveraging full-stack expertise to integrate front-end and back-end components
• 1 year of experience utilizing container technologies to manage and deploy services
• 1 year of experience automating processes to enhance reliability, reduce manual intervention, and improve operational efficiency
• Must be legally authorized to work in the United States
• Must live within a reasonable commuting distance from the Dearborn worksite

Core Competencies

Demonstrates expertise in architecting and developing scalable data pipelines and microservices on GCP, with a strong focus on data governance, security best practices, and operational efficiency. Proficient in integrating front-end and back-end components to enhance data access and user experience.

Highest-signal resume keywords

• GCP Data Pipeline Development
• Microservices Architecture
• Data Governance Implementation
• GitHub Source Code Management
• Container Technologies

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• Microservices Architecture
• Data Integration
• Data Standardization
• GCP BigQuery
• GCP Dataflow
• GCP Pub/Sub
• GCP Cloud Functions
• Automation of Processes
• Full-Stack Development

Soft Skills

• Collaboration
• Leadership

Industry Keywords

• Data Governance
• Real-Time Processing
• Batch Processing
• Data Security
• Operational Efficiency

Tools & Technologies

• GitHub
• GCP