Data Engineer Associate at Bosch Group

Roseville, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Sep, 26

Salary

85000.0

Posted On

16 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Oracle Database, MS SQL Server, Hadoop, ETL/ELT, DevOps, Docker, MLOps, Cloud Platforms, RedHat Linux, Data Architecture, Performance Tuning, Infrastructure as Code

Industry

Software Development

Description

Company Description The Bosch Group operates in most countries in the world. With over 400,000 associates, a career at Bosch offers a chance to grow an exceptional career in an environment that values diversity, initiative, and a drive for results. If you are interested in working on the cutting-edge of technology, working at Bosch is the place for you! Bosch is expanding its semiconductor business with silicon carbide chips in the U.S. and plans to invest some $1.9 billion in the Roseville site in California in the coming years. The first SiC semiconductors will be produced here on 200-millimeter wafers as of 2026. We are committed to quality at Bosch. Our environment celebrates diversity and promotes career progression. We seek highly-skilled, creative, results-oriented people who can look at technology from a new perspective and provide surprising insight. We are looking for candidates who want to shape and drive innovation at Bosch. Job Description The Data Engineer for Digital Manufacturing is responsible for designing, building, and maintaining the data architecture and infrastructure that drives our smart factory initiatives. This role is central to our Industry 4.0 strategy, ensuring that robust, scalable systems are in place to support advanced analytics, machine learning, and process automation. The ideal candidate will possess a deep understanding of modern data technologies, DevOps principles, and have a passion for deploying AI-driven solutions in a manufacturing environment. Responsibilities Day-to-day support, administer and monitor Oracle and MS SQL databases across Bosch semiconductor network. Installs and configures databases, monitoring performance, ensuring data consistency, and troubleshooting issues. Design, Build and Run Oracle/MS SQL environments and maintain DB’s performance and availability. Perform Oracle/MS SQL health check, troubleshooting and performance tuning. Collaboration with Worldwide DBA team in EMEA and America region. Design, build, and run scalable data architecture, including automated data pipelines and ETL/ELT processes for large-scale data processing. Manage and administer a variety of data storage technologies, including relational (e.g., SQL) and NoSQL databases, ensuring data integrity, performance, and security. Implement and manage infrastructure as code using DevOps methodologies; utilize tools like Docker and container orchestration for deploying applications and services. Develop and deploy automation for data workflows, system monitoring, and operational tasks to improve efficiency and reliability. Collaborate with data scientists and manufacturing engineers to deploy, monitor, and maintain AI/ML models in a production environment (MLOps). Work closely with other infrastructure, security, and application teams to ensure the seamless delivery of data services that meet performance targets and SLAs. Further the development of system and operational concepts for data infrastructure and its integration with manufacturing applications. Create and maintain strong technical documentation for data systems, processes, and architecture. Qualifications Diploma/Bachelor in computer science or equivalent 1-3 years professional working experience as an administrator for Oracle/MS SQL , Hadoop clusters. Experience with Oracle products, Grid/Cloud Control, RAC, ASM, Hadoop, gethue. Experience with RedHat Linux and Veritas Cluster, Volume Manager, SAN storage and TSM backup Experience with cloud platforms (e.g., Azure, AWS, GCP) and their data services. Strong technical documentation, interpersonal, presentation and communication skills. Able to participate in 24x7 on-call support Additional Information This role will work on site in Roseville, CA. This position generally works Monday-Friday, additional hours as necessary Indefinite US work authorized individuals only. Future sponsorship for work authorization unavailable. About Bosch BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives: FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World In Motion) “Equal Opportunity Employer, including disability / veterans.” To Learn what it is like to work at Bosch: Manufacturing at Bosch | We create technology that is "Invented for Life" | Careers at Bosch USA - YouTube The U.S. base salary range for this full-time position varies considerably depending upon qualifications (including education and applicable work experience). The base salary range for this position is $75,000-85,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; most positions include a bonus or additional benefits. Legal Entity: Robert Bosch Semiconductor LLC

Responsibilities

Responsible for designing, building, and maintaining data architecture and infrastructure to support smart factory initiatives and Industry 4.0 strategy. This includes administering Oracle and MS SQL databases, managing data pipelines, and deploying AI/ML models in production.