Software Engineer, Data Infrastructure
Cartesia seeks a Software Engineer specializing in Data Infrastructure to support our core research initiatives. You will be responsible for the end-to-end design and implementation of robust, scalable data pipelines that transform raw research outputs into actionable insights. Key duties include working with massive, disparate datasets from various sources, optimizing database schemas, developing efficient ETL/ELT processes using tools like Spark or Kafka, and ensuring the integrity and accessibility of data assets across our systems. This role is ideal for a strong problem-solver who thrives in an academic research setting but needs to build industrial-grade reliability. You will play a critical role in enabling AI model training by structuring petabytes of complex, messy data at our San Francisco HQ.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1650
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Software Engineer, Data Infrastructure?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Software Engineer, Data Infrastructure?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the cartesia test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Software Engineer, Data Infrastructure test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Engineering, ETL/ELT Pipelines, Cloud Data Warehousing (Snowflake/BigQuery), Python, SQL.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.