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Software Engineer - Data

Living Security, Inc.

Austin (TX)

Remote

USD 80,000 - 110,000

Full time

8 days ago

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Job summary

Living Security, Inc. seeks a Software Engineer to join their Data Platform team, transforming human risk management. This remote position offers the opportunity to work on large-scale data-driven enterprise solutions while collaborating with data scientists. Ideal candidates should have extensive experience in data processing, Python, and AWS services, alongside strong communication skills.

Benefits

Dynamic and inclusive work environment
Short- & long-term disability & life insurance
401(k) and HSA with employer contributions
Competitive salary and stock options
Career growth opportunities

Qualifications

  • 3+ years of experience in large-scale data processing.
  • Strong knowledge of data engineering concepts.
  • Proficiency in Python, SQL and AWS services.

Responsibilities

  • Engage in data modeling and align data sources with architecture.
  • Optimize and maintain data processing infrastructure.
  • Build robust integrations via third-party APIs.

Skills

Data processing
Python
SQL
AWS
Data modeling

Tools

PostgreSQL
Airflow
DBT

Job description

At Living Security , we believe people are a company’s greatest strength and competitive advantage. We challenge the outdated notion that humans are the weakest link in cybersecurity. Instead, we transform Human Risk into Proactive Defense , empowering organizations to stay ahead of threats.

As the #1 leader in Human Risk Management (HRM) , we've redefined how enterprises understand, measure, and mitigate human risk . Our Unify platform brings together behavioral, threat, and identity data into a single pane of glass , giving security teams unmatched visibility and tools to proactively protect against human risk .

With 100% YoY growth , Unify processes millions of behavioral events daily across 200+ enterprise customers , enabling security resilience at scale. By unlocking human potential, we help organizations achieve unprecedented security strength.

Our Vision & Values

At Living Security, we turn human behavior into cybersecurity’s greatest asset. By partnering with 200+ global enterprises , we transform millions of daily behavioral insights into the world’s most powerful human risk defense system.

Our success is built on five core values:

  • Be A Good Human – Lead with empathy, integrity, and respect.
  • Play To Win – Strive for excellence and pursue ambitious goals.
  • Innovate for Outcomes – Create meaningful solutions that drive real results.
  • Customer Success Obsessed – Empower customers to achieve their security goals.
  • Climb Together – Embrace collaboration and team success.
What We Offer
  • A dynamic, inclusive, and engaging work environment
  • Short- & long-term disability, life insurance, and 401(k)
  • HSA with employer contribution & FSA options
  • Financial wellness program & access to a financial adviser
  • Competitive salary + stock options
  • An opportunity to revolutionize the cybersecurity industry
  • Career growth opportunities across the company
Location:

This position is currently remote but may evolve into a hybrid arrangement. Candidates based in or willing to relocate to Austin, TX are preferred.

How to Apply

Ready to be part of a company shaping the future of cybersecurity? Apply now by submitting your resume and cover letter through our careers portal.

Living Security is an Equal Opportunity Employer. We celebrate diversity and are committed to fostering an inclusive, equitable, and empowering workplace for all employees.

About the role

Software Engineer – Data

We are seeking an experienced Software Engineer to join our Data Platform team at Living Security. This role is ideal for candidates with robust technical expertise across multiple domains and substantial experience building large-scale, data-driven enterprise software solutions in the cloud. You will play a critical role in ensuring the seamless operation and ongoing advancement of data-driven products, contributing significantly to our mission to transform human risk management.


Responsibilities:
  • Engage in data modeling to align new and existing data sources with Living Security’s data architecture.
  • Collaborate closely with data scientists to ensure data ingestion processes effectively support business needs.
  • Optimize and maintain data processing infrastructure to guarantee reliability, performance, and scalability.
  • Evaluate and propose innovative technologies that enhance data processing capabilities and solve complex customer data challenges.
  • Build robust integrations to retrieve and process data from various security products via third-party APIs.
  • Monitor and manage data processing pipelines, ensuring continuous availability, accuracy, and security.
  • Directly influence product direction and strategy, contributing to impactful customer solutions.

Requirements:
  • 3+ years of professional experience building large-scale data processing pipelines for production environments.
  • Strong foundational knowledge of data engineering concepts, best practices, and a keen interest in the rapidly evolving landscape of data technologies.
  • Proficiency in Python, with demonstrable hands-on coding experience.
  • Solid expertise in SQL and relational databases; PostgreSQL experience is highly beneficial.
  • Hands-on experience with AWS services, particularly Athena, DynamoDB, Kinesis, Step Functions, and Glue, is advantageous.
  • Effective communication skills and the ability to collaborate successfully in cross-functional team environments.
  • Familiarity with modern data integration tools such as Airflow and DBT is beneficial.

Desired Attributes:

  • Prior experience in startups or comfort working in rapidly evolving, ambiguous environments.
  • Demonstrable capability to balance rapid product delivery with sustainable engineering practices.
  • Self-motivated, autonomous, and adaptable to quickly shifting priorities and challenges.

Join our team and help us revolutionize human risk management through exceptional data-driven software solutions.

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