Cybersecurity Data Engineer at RunBuggy OMI LLC

Tempe, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, ETL, Docker, Kubernetes, Incident Response, DAG Orchestration, Data Quality, Cloud Data Storage, Python, Pandas, SQL, NoSQL, AWS, GCP, Azure, Airflow

Industry

Logistics;Transportation;Supply Chain and Storage

Description

Description About Us: RunBuggy is the most technically advanced automotive logistics platform on the market. Period. Backed by Porsche Ventures and Hearst Ventures, RunBuggy is transforming the way cars move. Our cutting-edge technology is trusted by some of the largest OEMs, captive finance companies, and automotive lenders in the world to streamline vehicle transportation at scale. RunBuggy’s end-to-end platform connects car shippers and haulers in real time - eliminating the friction of traditional load boards and costly custom software. For shippers, RunBuggy integrates directly into existing management systems, reducing transportation costs and accelerating delivery timelines. For transporters, we offer a smarter, more profitable way to find, accept, and manage loads - all from a single app. Since launching in 2019, RunBuggy has grown to over 150 team members, facilitated the movement of hundreds of thousands of vehicles, and attracted tens of thousands of transporters across the U.S. We’re not just building a better logistics platform - we’re redefining the future of automotive transportation. About the Role: Are you passionate about defending digital frontiers and tackling the latest cyber threats? At RunBuggy, we’re searching for a Cybersecurity Data Engineer who thrives on challenge and innovation. In this pivotal role, you’ll be part of our Engineering team, working in a cross-functional role safeguarding both our products and infrastructure. You’ll lead the charge in identifying and neutralizing emerging threats, investigating incidents, and driving rapid resolutions that keep our business secure and resilient. Bring your hands-on expertise in cloud and on-premises security automation, infrastructure-as-code, and DevSecOps practices to a team that values proactive problem-solving and continuous improvement. If you’re ready to make a real impact and grow your career in a fast-paced, collaborative environment, we want to hear from you! What You Will Be Doing: Infrastructure Design, develop, and maintain scalable data pipelines and systems. Independently create and own new data capture/ETL’s for entire stack and ensure data quality. Work with cloud-based data storage and processing solutions (Docker and Kubernetes[DE1] ). Data pipeline maintenance including debugging code, monitoring, and incident response. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Build out and support a DAG orchestration cluster framework. Migrate workflows from batch processes to the DAG cluster via concurrent data flows. Cross Team Collaboration Collaborate with data scientists, engineers, business leaders, and other stakeholders to understand data requirements and provide the necessary infrastructure. Collaborate with engineering to enforce data collection and data contracts for API’s, databases, etc. Security Systems Support buildout of data pipelines for the security team who will leverage data for threat detection and prevention. Attend security team meetings to align scope of work to data requirements. Implement data security and privacy best practices. Data Maintenance Lead data engineering projects and determine the appropriate tools and libraries for each task. Create and contribute to frameworks that improve the efficacy of logging data, triage issues and resolve. Define and manage Service Level Agreements for all data sets in allocated areas of ownership. Create and maintain technical documentation for data engineering processes. Requirements What You Bring to the Team by Way of Skills and Experience 5+ years of experience as a security engineer or DevSecOps engineer supporting development, infrastructure, and incident response teams. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Demonstrated understanding of Cyber Security Engineer principles, secure SDLC, and incident detection and response. Proficiency in Python and experience with data engineering libraries (e.g., Pandas). Experience with ETL processes and tools. Strong knowledge of relational and non-relational databases. Experience with cloud platforms (e.g., AWS, GCP, Azure). Experience with data warehousing solutions. Familiarity with data visualization tools (e.g., Tableau). Experience with building and managing DAG clusters (eg Airflow, Prefect) Ability to work with the following: JavaScript, Node.js, AngularJS, Java, Java Spring Boot Knowledge of machine learning and data science workflows. Experience with advanced persistent threats, phishing, social engineering, and enhanced authentication methods. Familiarity with cyber security frameworks (NIST CSF, ISO 27001) and compliance requirements. Ability to work independently and lead projects. Strong attention to detail, QA skills, and a proactive approach to problem-solving. Certificates, Licenses, and/or Registrations: Professional certifications such as Certified Ethical Hacker (CEH), Certified Information System Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Information Systems Auditor (CISA), or Certified Cloud Security Professional (CCSP) are preferred. Travel Requirements: Depending on candidate's location, travel to Tempe, AZ quarterly and travel to the Bay Area every other month is expected. We will give preference to candidates in commutable distance to Tempe, AZ. What is in it for You and Why you Should Apply: Market competitive pay based on education, experience, and location. Highly competitive medical, dental, vision, Life w/ AD&D, Short-Term Disability insurance, Long-Term Disability insurance, pet insurance, identity theft protection, and a 401(k) retirement savings plan. Employee wellness program. Employee rewards, discounts, and recognition programs. Generous company-paid holidays (12 per year), vacation, and sick time. Paid paternity/maternity leave. Monthly connectivity/home office stipend if working from home 5 days a week. A supportive and positive space for you to grow and expand your career. Pay Range Disclosure: The advertised range represents the expected pay range for this position at the time of posting based on education, experience, skills, location, and other factors. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. RunBuggy is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination, harassment, and retaliation on the basis of race, color, religion, sex (including gender identity and sexual orientation), pregnancy, parental status, national origin, age, disability, genetic information, or any other status protected under federal, state, or local law. Applicants must be currently authorized to work in the United States. Please, no agencies.

Responsibilities

The role involves designing, developing, and maintaining scalable data pipelines and systems, including creating new data capture/ETLs for the entire stack and ensuring data quality. This engineer will also collaborate across teams to enforce data collection standards and build data pipelines supporting security threat detection and prevention efforts.