Software Engineer 1 – Data Platforms

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $122.4k - $176k / year

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Abnormal Security

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.

📋 Description

• Contribute to the design, development, and operation of core components of Abnormal’s data platform • Build tools and services that help other teams adopt and scale data systems • Automate infrastructure and operations to improve reliability, performance, and scalability • Apply GenAI techniques to build smarter developer and operator experiences • Collaborate across engineering teams on scalability and reliability challenges • Own projects and deliver features end-to-end with guidance from senior engineers

🎯 Requirements

• 1+ years of professional experience in software engineering; backend, distributed systems, or infrastructure preferred • Solid programming skills in Python, Go, or a similar language; school, personal, or work experience count • Strong software engineering fundamentals including data structures, clean code, testing, and debugging • Interest in learning AWS, Databricks, databases, streaming, and orchestration technologies • Curiosity and problem-solving skills • Ability to work independently and as part of a team • Strong communication skills • Nice to have: experience with Kafka, Kinesis, or Flink • Nice to have: familiarity with AWS, GCP, or Azure • Nice to have: exposure to large-scale or data-intensive systems

🏖️ Benefits

• Bonus or incentive compensation may be available • Equity may be available • Comprehensive benefits package • Collaborative, supportive environment • Opportunities for ownership and career growth • Learning from and working with experienced engineers