Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
About the role
- Data Engineer developing scalable data products and pipelines for General Motors' advanced analytics. Collaborating with cross-functional teams to ensure robust data systems and predictive insights.
Responsibilities
- Architect and build scalable data pipelines and services using Databricks, Spark, and Azure to support advanced analytics and machine learning workflows.
- Design and implement industrial-grade data products that ingest, transform, and serve vehicle, battery, and environmental data for product health monitoring.
- Collaborate with cross-functional teams to define data requirements and deliver solutions that meet business and technical needs.
- Ensure data quality, integrity, and governance across all stages of the data lifecycle.
- Optimize performance of data systems and pipelines to support real-time and batch processing.
- Develop and maintain documentation, testing frameworks, and CI/CD pipelines for data engineering workflows.
- Demonstrate proficiency in Python through hands-on coding, peer reviews, and technical interviews.
- Support the integration of new data sources and technologies into the platform, ensuring scalability and maintainability.
Requirements
- Master’s degree in Software Engineering, Computer Science, Information Technology, or related field.
- 5+ years of experience in data engineering, software development, or building data-intensive applications.
- Proficiency with Databricks, Spark, SQL, and Python.
- Experience designing and deploying data pipelines in cloud environments (preferably Azure).
- Strong understanding of distributed systems, data modeling, and ETL best practices.
- Ability to translate ambiguous business problems into scalable data solutions.
- Excellent communication and collaboration skills.
- Demonstrated ability to work in a fast-paced, cross-functional environment.
Benefits
- Relocation benefits may be available
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.
Data Engineering Associate focusing on data quality control and management for distribution platform. Collaborates on large scale data projects to ensure data accuracy and availability for users.
Data Architect managing enterprise data platform built on Microsoft Fabric at Johnstone Supply. Leading architectural standards and collaborating with business and IT leaders for strategic data - driven insights.
Data Engineer at Studyportals responsible for data pipelines and infrastructure. Join a team ensuring accurate and trustworthy data for analytics and business decisions.
AI/ML Engineer designing and refining prompts and workflows using large language models. Responsible for developing data pipelines and delivering scalable AI solutions in a hybrid work environment.
AWS Data Architect at Fractal designing and operationalizing AWS data solutions at enterprise scale. Collaborating with clients and mentoring engineers in best practices.
Senior Data Engineer driving data - driven success at Pacific Life. Collaborating with a team to build scalable and secure data solutions in Newport Beach, CA or Charlotte, NC.
Data Architect managing Commercial Data architecture initiatives for Valmet's sales and service team. Leading AI - driven data integrity and quality efforts in a global context.