Data Engineer at RunBuggy OMI LLC

Tempe, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, ETL Processes, Cloud Platforms, Data Warehousing, Data Visualization, DAG Clusters, Machine Learning, Data Quality, Data Security, Relational Databases, Non-Relational Databases, Technical Documentation, Collaboration, Project Management, Problem Solving

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 building the backbone of data-driven innovation? As a Data Engineer on our Data Science team, you’ll architect and develop scalable data pipelines and systems that empower our Data Science department to unlock powerful insights. You’ll work side-by-side with talented colleagues across engineering, business, and analytics, ensuring our data infrastructure is robust, secure, and ready for tomorrow’s challenges. In this pivotal role, you’ll lead engineering projects, champion best practices in data quality and security, and optimize workflows to keep our organization ahead in a fast-paced environment. Your expertise in cloud platforms, ETL processes, and cutting-edge data engineering tools will be key to enabling seamless data capture, processing, and analysis. If you thrive on collaboration, innovation, and making a real impact with data, we want to hear from you! This role can be performed in Phoenix, AZ, or in the Bay Area of CA. What You Will Be Doing: Design, develop, and maintain scalable data pipelines and systems. Independently create and own new data capture/ETL’s for the entire stack and ensure data quality. Collaborate with data scientists, engineers, business leaders, and other stakeholders to understand data requirements and provide the necessary infrastructure. Create and contribute to frameworks that improve the effectiveness of logging data, triage issues, and resolution. Define and manage Service Level Agreements (SLA) for all data sets in allocated areas of ownership. Lead data engineering projects and determine the appropriate tools and libraries for each task. Implement data security and privacy best practices. Create and maintain technical documentation for data engineering processes. Work with cloud-based data storage and processing solutions (for example, Docker and Kubernetes). Build out and support a DAG orchestration cluster framework. Migrate workflows from batch processes to the DAG cluster via concurrent data flows. Data pipeline maintenance, including debugging code, monitoring, and incident response. Collaborate with engineering to enforce data collection and data contracts for API’s, databases, etc. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Other duties as assigned. Requirements What You Bring to the Team by Way of Skills and Experience: Bachelor's degree in Computer Science, Engineering, or a related field required; master’s degree preferred. 5+ years of experience in data engineering. 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). Excellent communication skills. Ability to work independently and lead projects. 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, and Java Spring Boot. Knowledge of machine learning and data science workflows. Ability to handle a variety of duties in a fast-paced environment. Excellent organizational skills, along with professionalism and diplomacy with internal and external customers/vendors. Ability to prioritize tasks and manage time. Ability to work under tight deadlines. Travel Requirements: Employees based in Phoenix are expected to travel to the Bay Area (Northern California) approximately every other month. Employees based outside of Phoenix are expected to travel to Phoenix with similar frequency. Whenever possible, advanced notice of required travel will be provided. 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.

Responsibilities

Design, develop, and maintain scalable data pipelines and systems while ensuring data quality. Collaborate with various stakeholders to understand data requirements and provide the necessary infrastructure.