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Engineer III - Data Reliability Engineer (Remote)

CrowdStrike
USA FL Remote, United States, United StatesRemotefull_timeVerifiedPosted 30 Apr 2025
💰 $180,000/yr($110,000/yr$180,000/yr)

About the role

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

CrowdStrike is looking for an Engineer III to join our growing Data Reliability Engineering team. As an Engineer III, you will be fundamental in ensuring the accuracy, integrity, and business value of our data systems. The candidate will be responsible for building and developing robust ETL solutions that transform raw data into reliable information for reporting and operational decision-making. If you are passionate about turning complex data into clear business narratives, this is the job for you!

What You’ll Do:

  • Identify and resolve discrepancies between data sources and leverage automation tooling to aid in data integrity and efficiency

  • Design and implement ETL (Extract, Transform, Load) processes to efficiently move data between systems while ensuring data quality and integrity

  • Develop automated quality checks and monitoring procedures to ensure financial data consistency and compliance

  • Build and maintain scalable data pipelines to aggregate and process data from a wide spectrum of sources (relational databases, APIs etc)

  • Develop Python scripts and applications using libraries such as Pandas, NumPy, and SQLAlchemy for data manipulation, transformation, and analysis

  • Create automated data validation frameworks using Python testing libraries to ensure data quality and consistency

  • Apply accounting principles to ensure financial data integrity and develop meaningful financial analytics

  • Identify and resolve discrepancies between data sources and leverage automation tooling to aid in data integrity and efficiency

  • Develop automated quality checks and monitoring procedures to ensure data consistency

  • Use Jira for workflow management and to document data integration processes and dependencies

  • Aid and optimize asset management inventory data, reporting systems, and ensure proper memorialization of fixed assets throughout their lifecycle

  • Be an energetic 'self-starter' with the ability to take ownership and be accountable for individual deliverables

  • Take ownership of cost optimization initiatives and improve operational efficiencies through data-driven insights

  • Deliver and accept feedback with grace and courtesy

  • Report regularly to leadership on the status of critical projects and key business metrics

What You’ll Need:

  • Experience with fixed asset management systems, including asset tracking, depreciation calculations, and financial reconciliation

  • Strong experience with ETL methodologies and tools for data integration and transformation, leveraging frameworks

  • Advanced Python programming skills with expertise in data engineering libraries (Pandas, NumPy, SQLAlchemy, Airflow)

  • Experience using Jira's REST API to extract project data for reporting and analytics purposes

  • Advanced Excel skills including complex formulas, pivot tables, VBA macros, and Power Query for financial data manipulation

  • Experience designing schemas and optimizing SQL queries for RDBMS such as MySQL or Postgres

  • Fundamental understanding of accounting principles and financial reporting requirements

  • Must work effectively and professionally with cross-functional groups across divisions as part of a worldwide team

  • Must be

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Company

CrowdStrike

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