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 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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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: We are seeking a seasoned Data Engineer to join our team. You will be responsible for architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms. This role requires a blend of high-level technical expertise in modern data stacks and the ability to collaborate independently with stakeholders to translate business needs into scalable data solutions. What You’ll Do: - Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring. - Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes. - Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies. - Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub. - Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines. - Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making. What You’ll Need: - 3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow. - Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data. - Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models. - Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterprise. - Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc. - Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. You will work with your Data Engineering teammates to review design, code, and test plans to increase knowledge and application of key frameworks and methodologies. - Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs. - Proven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insights. - Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience. Bonus Points: - Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processing. - Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support. #LI-Remote #LI-CS1 Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:06-29-2026

• Design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across healthcare technology platforms • Build and optimize AI and GEN AI technologies, integrating them into existing systems • Ensure effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards • LLM Fine-Tuning: Hands-on with multiple techniques • Agentic AI: Built solutions using LangChain, LangGraph, CrewAI • Data Processing: Preprocessing, feature engineering, model training on large healthcare datasets • System Integration: Skilled in API development, seamless integration with existing stacks • Performance Optimization: Continuous monitoring, refinement, ML Ops & LLM Ops best practices • Compliance & Security: Guardrails, ethical AI, HIPAA/CMS adherence • Automation: Workflow enhancement through AI-driven solutions • Frontend: Streamlit required; React/Angular/Vue.js preferred • Leadership: Team lead experience, cross-functional collaboration, translating business needs into deployable solutions

• Own the design, architecture, and implementation of complex data engineering initiatives • Identify and address difficult technical problems within the data platform • Serve as a technical mentor and senior resource for data engineers • Partner with product, analytics, and operations stakeholders on complex data initiatives • Stay current with developments in data engineering and conduct proof-of-concept work

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. Here is our team hierarchy for individual contributors: Senior Software Engineer (III) Staff Software Engineer (IV) Your team is responsible for: As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance. These components power our Product, Engineering, Analytics, and Data Science teams by enabling experimentation, operational excellence, and actionable insights to accelerate business growth. You'll work on: - Design, build, and operate data platform services (warehousing, orchestration, and catalogs). Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization. - Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs, which include onchain data, internal system data, and partner data. - Be a domain expert in streaming processing, data pipelines, data warehousing and quality. Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security and Compliance teams-on data contract modeling, data lifecycle management, governance and regulatory/legal compliance. - Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring. - Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets. You'll bring to Circle: Senior Software Engineer (III): - 4+ years of software engineering experience building data-intensive systems - Hands-on experience designing and operating scalable batch, micro-batch, or streaming data pipelines - Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains. - Familiarity with data governance, lineage, and provenance concepts - Strong understanding of open-source data technologies and cloud-native data platforms - Ability to tackle complex and ambiguous problems. - Self-starter who takes ownership and enjoys moving at a fast pace. - Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively. Nice to have: - Experience with with streaming frameworks such as Apache Flink or Google Cloud Dataflow - Experience with NoSQL databases such as Bigtable, Cassandra Staff Software Engineer (IV): Includes all the requirements of a Senior Software Engineer, and: - 7+ years in software engineering experience for large-scale and complex data systems - Proven technical leadership in architecture and system design, influencing designs across multiple teams - Deep expertise in one or more of: streaming systems, data warehousing, data modeling, or large-scale ingestion platforms - Ability to identify high-impact technical opportunities independently and drive them from concept to production - Strong experience in: - Data platforms integrated with downstream consumers, tools, and services - Data quality, validation, and observability mechanisms across pipelines - Comfortable making and defending long-term architectural tradeoffs in ambiguous environments Nice to have: - Hands-on Experience taking an operational, data-intensive application from initial design to production (0→1), or scaling and operating it at production scale. - Experience developing real-time analytics or near-real-time decisioning systems Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $195,000 - $257,500 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote