Manufacturing Engineering Supervisor at Ford ensuring efficient, cost - effective manufacturing of innovative products. Leading and mentoring engineering teams to drive continuous improvement in a dynamic environment.
About the role
- Developer building robust, scalable software systems for geospatial data analytics company. Focused on API development and cloud infrastructure in a startup environment.
Responsibilities
- Work with a team of analysts and developers to create an analytics software platform.
- Automate data source API information retrieval. Integrate data from multiple sources into analytics pipelines and relational databases.
- Deploy and maintain a customer facing API and documentation.
- Write automated web data scrapers.
- Clean, process and integrate into data stores.
- Provide programming support for devops and MLops projects, data science and engineering staff.
- Test, debug and deploy code into cloud microservices.
- Refactor code bases to comply with standards. Profile and optimize code.
- Implement best practices for code quality, testing, and deployment automation in a continuous integration and deployment (CI/CD) environment.
- Stay updated on emerging technologies and industry trends related to data processing and cloud computing.
Requirements
- BS degree in a STEM field. 4 years+ experience in a data engineering or python development role.
- In-depth understanding of backend data engineering, relational database design, ETL and ELT pipelines, building scalable near-real time data streams, batch processing
- 2+ years of experience working in Cloud Systems (GCP, AWS, Azure)
- Experience with Apache Spark, Apache Airflow, Dagster (in Python or Scala)
- Experience with geospatial data processing tools and databases is a plus
- Experience with multiprocessing, multithreading, query optimization, and Cython is desirable.
- The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills.
- Exposure to energy, oil & gas domain is preferred.
- API-first design, internal package development, and SQL database optimization
- Data pipeline development, ETL processes, and real-time streaming systems
- Performance optimization including multiprocessing, multithreading, query optimization
- GitHub Actions and advanced CI/CD pipeline development
Benefits
- Competitive salary and comprehensive benefits (medical, dental, vision
- Significant growth opportunities as an early technical team member
- Collaborative and innovative work environment
- Fully remote role with access to Houston and London offices
- Direct impact on products used by major energy companies and government agencies
- Mentorship from experienced engineers and technical leaders
- Conference attendance and continuing education support
- Opportunity to shape engineering direction and best practices
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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