Sr Software Engineer

Stefanini Group•Southfield, MI

1d•Onsite

About The Position

Stefanini, Inc. seeks a Software Engineer, Sr. to design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. This role involves planning, designing, building, and maintaining scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow. The engineer will design, implement, and maintain existing and future data platforms, as well as design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks. Key responsibilities include designing, building, and maintaining highly scalable, fault-tolerant, and performant data pipelines to ingest and process data, and architecting and implementing a unified data model capable of connecting all relevant data elements across various sources. The role requires leveraging Google Cloud Platform (GCP) services to build and manage robust data storage, processing, and orchestration layers, and implementing rigorous data quality gates, validation rules, bad record handling, and comprehensive logging. Ensuring strict adherence to data security policies, IAM role management, and GCP perimeter security is crucial. The engineer will work closely with AI/ML engineers, data scientists, and product managers to understand data requirements, integrate data solutions with multi-agentic systems, and optimize data delivery, as well as implement robust testing strategies. Continuous monitoring, optimization, and troubleshooting of data pipelines are also key aspects of this position.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Data Science or a foreign equivalent.
At least two (2) years of experience as a Software Engineer or similar position.
SQL
Python
Google Cloud Platform (GCP)
ETL/ELT data processing pipelines
Data transformation and data integration
BigQuery (Data warehouse and analytics)
Cloud storage
CI/CD pipeline implementation
AI/ML
Java
PowerShell

Responsibilities

Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
Plan, design, build, and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow.
Design, implement, and maintain existing and future data platforms.
Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks.
Design, build, and maintain highly scalable, fault-tolerant, and performant data pipelines to ingest and process data.
Architect and implement a unified data model capable of connecting all relevant data elements across various sources.
Leverage Google Cloud Platform (GCP) services to build and manage robust data storage, processing, and orchestration layers.
Implement rigorous data quality gates, validation rules, bad record handling, and comprehensive logging.
Ensure strict adherence to data security policies, IAM role management, and GCP perimeter security.
Work closely with AI/ML engineers, data scientists, and product managers to understand data requirements, integrate data solutions with multi-agentic systems, and optimize data delivery.
Implement robust testing strategies.
Continuously monitor, optimize, and troubleshoot data pipelines.