Talantix.io
Quora•01.03.26
AI SCORE 8.5

Remote Software Engineer - Data Infrastructure at Quora

$98K–$139K/year
RemoteB2B SaaS
Python•Java•Scala•Apache Spark•Hadoop•AWS•GCP•Azure•Docker•Kubernetes

About the Role

Quora is hiring a full-time Software Engineer - Data Infrastructure to join our dynamic team. This remote Software Engineer position allows you to work from anywhere, contributing to our mission of sharing and growing the world's knowledge. You will play a crucial role in building and maintaining the data infrastructure that supports our platform, ensuring that our systems are scalable, reliable, and efficient.

What You'll Do

  • Design, develop, and maintain data pipelines and infrastructure for data processing.
  • Collaborate with cross-functional teams to understand data needs and implement solutions.
  • Optimize existing data systems for performance and scalability.
  • Monitor and troubleshoot data-related issues to ensure system reliability.
  • Implement best practices for data management and governance.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 2-5 years of experience as a Software Engineer, with a focus on data infrastructure.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with data processing frameworks like Apache Spark or Hadoop.
  • Strong understanding of database systems and data modeling.

Nice to Have

  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with containerization technologies like Docker or Kubernetes.
  • Knowledge of machine learning concepts and tools.

What We Offer

  • Competitive salary ranging from $97,600 to $139,000 annually.
  • Flexible remote work environment.
  • Health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Opportunities for professional development and growth.
Why This Job8.5 of 10

Join Quora as a Remote Software Engineer in Data Infrastructure and contribute to a leading platform with a competitive salary and flexible work options.

Salary Range
Required
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Optional
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Bonus
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Who Will Succeed Here

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Proficient in Python and Java, with a strong understanding of data processing frameworks such as Apache Spark and Hadoop. This expertise allows for efficient data manipulation and analysis, essential for maintaining scalable data infrastructure.

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Adaptable and self-motivated, thriving in a remote work environment. The ability to manage time effectively and stay organized is crucial for meeting project deadlines and collaborating with distributed teams.

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Hands-on experience with cloud platforms like AWS, GCP, and Azure, coupled with a problem-solving mindset to tackle infrastructure challenges. Familiarity with containerization technologies like Docker and orchestration with Kubernetes is essential for modern development practices.

Learning Resources

→Python for Data Science Handbookguide
→Data Engineering on Google Cloud Platformcourse
→Apache Spark Documentationarticle

Career Path

Remote Software Engineer - Data Infrastructure(Now)→Data Infrastructure Team Lead(1-2 years)→Senior Data Engineer or Architect(3-5 years)

Market Overview

Market Size 2024
$15.5B
Annual Growth
12.3%
AI Adoption
56%
Investment
+45%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonJavaScala
Growing in Demand
Machine LearningData EngineeringCloud Architecture
Declining
MapReduceJSP (JavaServer Pages)

Domain Trends

Increased Adoption of Serverless Computing
In 2024, serverless computing adoption in the data infrastructure domain is expected to rise by 40%, allowing engineers to focus on code rather than server management.
Rise of Multi-Cloud Strategies
Companies are increasingly deploying multi-cloud strategies, with 70% of enterprises utilizing multiple cloud providers (AWS, GCP, Azure) to enhance data resilience and flexibility.
Focus on Data Privacy and Security
With 80% of organizations prioritizing data privacy, software engineers are expected to integrate privacy-centric design into data infrastructure, driving demand for skills in data governance.

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