Software Engineer - Data

Living Security; Austin (TX); Remote; USD 130,000 - 175,000; Full time

Job summary

Living Security is seeking a Software Engineer to join their Data Platform team. This mid-senior level role focuses on building large-scale, data-driven enterprise software solutions, ensuring the operation and advancement of data products. Candidates should have strong technical expertise, particularly in data engineering, Python, and AWS services.

Qualifications

• 3+ years of experience in data processing pipelines.
• Strong knowledge of data engineering concepts.
• Proficiency in Python and SQL.

Responsibilities

• Engage in data modeling to align data sources with architecture.
• Collaborate with data scientists for data ingestion.
• Optimize data processing infrastructure for performance.

Skills

Data Engineering

Python

SQL

AWS

Data Integration

Collaboration

Tools

PostgreSQL

Airflow

DBT

Job description

This range is provided by Living Security. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $175,000.00/yr

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.

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.

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Computer and Network Security

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