Senior Software Engineer - Data Onboarding - Seattle
Join haus as a Senior Software Engineer to spearhead our data onboarding initiatives. You will be responsible for designing, building, and optimizing scalable data ingestion pipelines that handle high volumes of diverse, real-time data streams. This role is critical to ensuring the quality and accessibility of data used across our core products. Key responsibilities include developing robust ETL/ELT workflows, implementing data validation checks at every stage, and collaborating with cross-functional teams (Data Science, Product) to define data requirements. You will utilize modern cloud infrastructure tools and best practices in backend engineering to create highly reliable systems. The ideal candidate possesses deep expertise in Python, experience with distributed systems architectures, and a strong understanding of cloud platforms (AWS preferred). Experience operating in an Agile environment is highly beneficial.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer - Data Onboarding - Seattle?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer - Data Onboarding - Seattle?
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 haus 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 Onboarding - Seattle 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 Pipelines, Software Engineering, Python, Cloud Services (AWS/GCP), SQL/NoSQL Databases.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.