Senior Data Engineer

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

The Opportunity

IoT Infrastructure Software is looking for a Senior Data Engineer for our Infrastructure Software team.  In this role, you will analyze and interpret complex data sets to provide insights to engineering teams. The ideal candidate must have at least some years of experience in data analysis and be able to work independently and collaboratively.    

Meet the Team

The Silicon Labs Internet of Things (IoT) Infrastructure Software team is an elite group of software engineers focused on developing internal tools and frameworks. Our team has a deep understanding of all aspects of semiconductor software development, including embedded, object-oriented applications, database, and web analytics.

We have a passion for what we do and always seek out better ways to make our users more productive.  Is this a great match for you? If you have an interest in the intersection of software with hardware products, we’d love to talk to you! We seek candidates that have an aptitude and interest in working with a wide variety of software technologies and who seek to collaborate with teams throughout the company. 

What you will need to know?

• Good understanding of data architectures, including data models, databases, data warehouses, data lakes, and data lakehouses.
• Support development of data strategies aligned with business objectives and future growth plans Collaborating with stakeholders to gather data requirements and define data standards and governance policies
• Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics
• Overseeing data integration, ETL processes, and data pipelines to ensure efficient data movement and transformation
• Ensuring data security, privacy, and compliance with regulatory requirements Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability.
• Writing code in SQL, Python and Terraform.
• Developing and deploying Infrastructure-As-Code and CI/CD automation (Jenkins).

Minimum Qualifications

• Bachelor’s degree in computer science, Statistics or Mathematics or related field.
• Minimum 5 years experience in data roles.
• Technical proficiency in SQL, Python and/or R.
• Hands on experience building reports and dashboards with tools such as Power BI or Superset. Hands on experience with glue, redshift.
• Strong knowledge of how relational databases work and various schema types (we use STAR, Snowflake)
• Experience writing queries for MSSQL server and AWS

Qualifications Considered a Plus

• Understanding of automated test environments for hardware validation or software QA
• Familiarity with DevOps tools for CI/CD and infrastructure-as-code
• Exposure to analysis using machine learning related projects is a plus. Ability to work independently and collaboratively in a team environment

Budapest Perks & Benefits 

You would be working from our office in Budapest, in Graphisoft Park, next to the riverbank of the Danube.  

We also offer:  

• Annual Budapest travel card or parking in the office garage 

• Great cafeteria system 

• Opportunity to join Employment Stock Purchase Plan 

• Private health care access 

• Life and accident insurance for every employee 

• Contribution to a voluntary private pension fund 

• AYCM card option 

• Paid days for philanthropy 

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.