Job Description
Data Engineer
Austin, TX
12 Months
Intrview mode - Phone & in-person
Description: Summary:
The Data Engineer designs, builds, and manages scalable AI and data platforms and pipelines using AI tools, enabling the organization to collect, process, analyze, and leverage data efficiently for business insights. This role combines hands-on data engineering expertise with strong system design capabilities to support enterprise-wide data and AI initiatives.
Job Overview:
The Data Engineer will lead the design and development of modern data solutions, including data warehouses, data lakes, ETL/ELT pipelines, cloud-based analytics platforms, and machine learning data infrastructure. The successful candidate will collaborate closely with semiconductor engineers, data scientists, business stakeholders, and IT teams to deliver reliable, secure, and scalable data capabilities. This position requires deep expertise in data architecture, data integration, cloud technologies, and software engineering best practices, as well as the ability to mentor team members, influence technical direction, and drive continuous improvement across the data ecosystem.
- 8-10 years of experience in system design, database design, data modeling, and data architecture preferably within the - semiconductor industry or related high-tech sectors
- Hands-on experience with building enterprise software with AI coding tools (example cursor, Claude code), a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi & Postgres.
- Proficiency in SQL & Python.
- At least 5+ years’ experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable (Azure is preferred).
- Experience working within semiconductor industry or related high-tech sectors
- Experience collaborating with international teams, particularly in China and India.
- Experience with Infrastructure-As-Code and CI/CD automation
- Strong communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders
Austin, TX
12 Months
Intrview mode - Phone & in-person
Description: Summary:
The Data Engineer designs, builds, and manages scalable AI and data platforms and pipelines using AI tools, enabling the organization to collect, process, analyze, and leverage data efficiently for business insights. This role combines hands-on data engineering expertise with strong system design capabilities to support enterprise-wide data and AI initiatives.
Job Overview:
The Data Engineer will lead the design and development of modern data solutions, including data warehouses, data lakes, ETL/ELT pipelines, cloud-based analytics platforms, and machine learning data infrastructure. The successful candidate will collaborate closely with semiconductor engineers, data scientists, business stakeholders, and IT teams to deliver reliable, secure, and scalable data capabilities. This position requires deep expertise in data architecture, data integration, cloud technologies, and software engineering best practices, as well as the ability to mentor team members, influence technical direction, and drive continuous improvement across the data ecosystem.
- 8-10 years of experience in system design, database design, data modeling, and data architecture preferably within the - semiconductor industry or related high-tech sectors
- Hands-on experience with building enterprise software with AI coding tools (example cursor, Claude code), a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi & Postgres.
- Proficiency in SQL & Python.
- At least 5+ years’ experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable (Azure is preferred).
- Experience working within semiconductor industry or related high-tech sectors
- Experience collaborating with international teams, particularly in China and India.
- Experience with Infrastructure-As-Code and CI/CD automation
- Strong communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders
Numbers & Facts
| Location | AUSTIN, TX |
| Industry | Staffing/Employment Agencies |
| Company Size | 100 to 499 employees |
| Year Founded | 1990 |
| Website | http://www.sunrisesys.com/ |
About Company
Sunrise Systems was founded in 1990 with a clear vision to deliver world-class staffing service solutions in all labor categories, including IT consulting and solutions; all with the commitment to provide service that exceeds expectations and become the most trusted name in the industry. More than two and a half decades later, we pride ourselves on being at the forefront of the staffing industry. Combining our deep industry expertise, insights, and global resources, we have partnered with our clients to connect them with top professionals across several different industries.
We provide cost-effective Managed Staffing Solutions, Information Technology and Information Technology Consulting Services to several Fortune 500 companies and U.S. Government agencies. We provide our clients with flexible engagement models and customized products that are budget and time specific. Understanding the challenges that every business faces, we offer our services either on-site at the clients' site or from one of our globally distributed technology centers. Our onshore and offshore development capabilities ensure that we excel at meeting customer requirements every single time.
Our collective business experience spans over two and a half decades and ranges from:
- Business, management, and technical fields
- Information technology consulting and software solutions.
- Providing strategic support for the development and long-term growth of new business ventures across several industries including but not limited to; accounting, banking, finance, and recruitment.
- Motivating technology staff and establishing partnerships with Fortune 500 companies
Sunrise Systems has a vast range of competence in:
- Design, development, and support of cloud-based solutions from simple to highly complexed
- Database administration of multi-platform applications, complex databases, and web-based environments that include all aspects of installation, planning, maintenance, and monitoring.
- Data processing and data migration
- Application re-engineering and platform migration
- Working with the Information Systems and end-user communities at all levels to resolve issues and establish consensus.
Skills
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