Software Engineer II - Data Platform

As a Software Engineer II, you will contribute to the design, development, and maintenance of scalable data pipelines that support our data-driven initiatives. You will work independently to define the approach for assigned tasks, applying standard engineering procedures and techniques to solve complex problems. You will be expected to handle ambiguous requirements, exercise full agency over your own work, and ensure that your technical solutions are compatible with systems and platforms in adjacent areas. You will balance technical execution with a clear understanding of business and product outcomes.

• →Contribute to the design, implementation, and maintenance of real-time and historical data pipelines, ensuring adherence to standard procedures and best practices.
• →Build and maintain well-organized, documented libraries and APIs to manage, search, and analyze vehicle datasets.
• →Collaborate on the development of front-end interfaces to visualize data and improve fleet operations.
• →Partner with cross-functional autonomy and platform teams to address software needs, ensuring system compatibility and synchronization.
• →Independently determine technical approaches to assigned tasks, actively discussing improvements and potential alternatives with the team.
• →Apply rigorous testing and standard procedures to optimize data processing workflows for performance, scalability, and cost-effectiveness.
• →Implement data quality checks and monitoring tools, maintaining awareness of the impact of these systems on product and business outcomes.
• →Proactively invest in professional growth and technical mastery through research and application of industry standards.

Success in this role typically requires the following competencies:

• Technical Proficiency: Strong software development skills with proficiency in object-oriented programming (Python, Rust, Java, etc.) and a commitment to applying industry-standard techniques.
• Problem Solving: Demonstrated ability to identify potential alternatives to solve technical problems and the ability to work independently with ambiguous requirements.
• Communication: Effective, clear, and concise communication of both technical and non-technical information to teammates and peers across different domains.
• Collaboration: Active contribution to design discussions and a collaborative approach to identifying and resolving dependencies.
• Ownership: A high degree of agency in executing assigned specs and a proactive mindset toward system compatibility.

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

• Required
• B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree or experience.
• 2+ years of industry experience in software engineering.
• Working knowledge of data structures, algorithms, and object-oriented programming.
• Experience with cloud platforms (AWS, Azure, GCP) and deployment practices.
• Experience with agile development methodologies and CI/CD practices.
• Desirable
• Experience building and maintaining data-processing pipelines in a cloud environment.
• Knowledge of data warehousing or data lake concepts.
• Familiarity with containerization (Docker, Kubernetes) and telemetry systems.
• Understanding of real-time data processing and distributed systems.

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? -  Minimal: 1%-10%