Data Pipeline Engineer

United States - Remote

Anvilogic Inc

Anvilogic breaks the SIEM lock-in that drives detection gaps and high costs for enterprise. Detect threats and hunt where your enterprise SOC chooses.

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  • Build and deploy end-to-end data pipelines required for analytics within AWS, Azure, and Snowflake platforms.
  • Participate in architecture; hands-on leadership of design and development of features for the Anvilogic Data Pipelines.
  • Own data pipeline projects, drive them to completion and support them in production while ensuring optimal reliability and observability.
  • Collaborate closely with detection engineering and threat hunting (ML-based and hunt analyst-based) teams to meet data requirements needs. 
  • Design complex test cases for the system, working with the QA team.
  • Mentor and guide other team members in monitoring and alerting best practices, ensuring the entire team is equipped to handle incidents effectively.
  • Work closely with product management, engineering, and our partners to ensure we’re always working toward customer success.
  • Be a hands-on and collaborative player within our teams.
  • Work effectively within Anvilogic’s methodology and processes.

Requirements

  • An unyielding desire to build and automate secure, reliable, and scalable data pipeline solutions.
  • Minimum 3 years of software development experience required with fluency in Python.
  • Minimum 3 years of working with cloud services experience required, primarily within AWS or Azure.
  • A bachelor’s degree or a compelling story.
  • Experience with working with security data and SIEM technologies, preferred.
  • Experience deploying, configuring, and engineering solutions for complex systems and applications.
  • Experience with Infrastructure as Code tools (AWS CloudFormation, Azure ResourceManager) and CI/CD pipelines.
  • Experience producing professional-quality documentation.
  • Excellent written and verbal communication skills, both in groups and one-on-one interactions.

Benefits

  • High growth startup - plenty of room for you to directly impact the company and grow your career
  • Experienced Leadership with a priority on Culture
  • Remote work environment
  • Competitive compensation and opportunity for equity
  • Unlimited paid time off
  • Health, dental, vision insurance
  • 401k match
  • Other great perks, such as home office stipend and donation policy
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure CI/CD CloudFormation Data pipelines Engineering Machine Learning Pipelines Python Security Snowflake

Perks/benefits: 401(k) matching Career development Competitive pay Equity Health care Home office stipend Startup environment Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  8  1  0
Category: Engineering Jobs

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