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abridge

Senior Software Engineer, Data

Abridge is seeking an experienced Senior Software Engineer specializing in data to join our Builder team within the Data Engineering group. This role is critical for transforming raw data into clean, actionable intelligence that powers our product suite. You will be responsible for designing, developing, and maintaining robust ETL/ELT pipelines using modern cloud technologies and scalable programming languages like Python and advanced SQL. Key responsibilities include optimizing database schemas, ensuring data integrity across all systems, and collaborating closely with data scientists and backend teams to meet ambitious business objectives. The ideal candidate possesses a deep understanding of distributed systems, has strong debugging skills, and is eager to take ownership of key data workflows from concept through deployment.

abridge San Francisco, CA, California, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1200

Question set

150

Duration

Permanent

Focus areas

PythonSQLData PipelinesCloud Computing

People Also Ask (FAQs)

What is the last date to apply for Senior Software Engineer, Data?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Senior Software Engineer, Data?

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 abridge 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 Senior Software Engineer, Data 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: Python, SQL, Data Pipelines, Cloud Computing.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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