Software Engineer II - Data Platform

About the role

May Mobility is committed to revolutionizing urban transportation by deploying autonomous vehicles that make cities safer, cleaner, and more accessible. As a Software Engineer II on the Data Platform team, you will be instrumental in designing, developing, and maintaining scalable data pipelines that support our autonomous vehicle operations and data analytics. You will work closely with cross-functional teams to ensure the integrity, efficiency, and usability of our data infrastructure. This role offers an exciting opportunity to contribute to cutting-edge mobility solutions, solving complex data challenges, and enabling real-time decision-making for autonomous systems. You will have the autonomy to define your approach to solving technical problems, participate in strategic planning, and influence the development of our data ecosystem.

Key facts

What you'll do

• Design, develop, and maintain robust real-time and batch data pipelines that process vehicle sensor data, operational logs, and other relevant datasets.
• Build and optimize data libraries and APIs that facilitate efficient data access, transformation, and analysis for internal teams and external partners.
• Collaborate with front-end developers to improve data visualization tools and dashboards used for fleet management and monitoring.
• Work with data scientists, product managers, and engineers to understand data needs and translate them into scalable technical solutions.
• Take ownership of technical projects by defining scope, setting milestones, and discussing potential improvements with team members and stakeholders.
• Conduct thorough testing of data pipelines and processing systems, applying standard methodologies to improve performance, reliability, and cost-efficiency.
• Implement data quality assurance processes, including validation, monitoring, and alerting systems to maintain high data integrity.
• Document data architecture, pipelines, and APIs clearly to ensure maintainability and knowledge sharing across teams.
• Participate in code reviews, team meetings, and technical discussions to uphold best practices and continuous improvement.
• Stay current with industry trends and emerging technologies related to data engineering, cloud computing, and distributed systems.
• Support deployment and scaling of data infrastructure on cloud platforms such as AWS, Azure, or GCP.
• Assist in troubleshooting data pipeline issues and resolving production incidents promptly to minimize downtime.
• Contribute to the development of internal tools and automation scripts to streamline data workflows and reduce manual effort.
• Engage in professional growth activities, including training, certifications, and knowledge sharing, to enhance your technical expertise.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
• Minimum of 2 years of professional experience in software engineering, with a focus on data engineering or related areas.
• Strong understanding of data structures, algorithms, and object-oriented programming principles.
• Hands-on experience working with cloud services such as AWS, Azure, or GCP, including deployment and management of data solutions.
• Familiarity with CI/CD practices and tools to automate testing, integration, and deployment processes.
• Knowledge of SQL and NoSQL databases, data warehousing, and data lake concepts.
• Experience with scripting languages like Python, Java, or Rust for data processing tasks.
• Ability to work independently, prioritize tasks, and communicate effectively with technical and non-technical stakeholders.
• Understanding of data security, privacy, and compliance considerations relevant to cloud-based data systems.
• Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is a plus.
• Experience with real-time data processing frameworks (e.g., Kafka, Spark Streaming) is advantageous.
• Knowledge of agile development methodologies and collaborative software development practices.

Nice to have

• Prior experience developing and managing large-scale data pipelines in cloud environments.
• Understanding of data warehousing, data lake architectures, and related tools.
• Familiarity with distributed systems and scalable data processing frameworks.
• Experience working in the autonomous vehicle or mobility industry is a plus.
• Knowledge of data governance, lineage, and metadata management practices.
• Exposure to machine learning workflows and integration with data pipelines.

Skills & tools

• Proficiency in object-oriented programming languages such as Python, Rust, or Java.
• Strong analytical and problem-solving skills to address complex data challenges.
• Excellent communication skills for explaining technical concepts to diverse audiences.
• Ability to collaborate effectively within a team and across departments.
• Ownership mentality with a focus on delivering high-quality, reliable solutions.
• Familiarity with cloud platforms and deployment pipelines.
• Experience with version control systems like Git.
• Knowledge of data visualization tools and dashboards is beneficial.

Practical notes

• Minimal travel is required, estimated at 1% to 10%.
• The company offers a comprehensive benefits package, including medical, dental, vision, life, and disability insurance.
• Employees have access to Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
• The retirement plan includes immediate employer matching contributions.
• May Mobility provides generous paid parental leave and flexible vacation policies to promote work-life balance.
• The company supports employee wellbeing through its Total Wellness Program, offering various health and wellness resources.
• The organization values diversity and encourages candidates from all backgrounds to apply, even if they do not meet every listed qualification.
• Interested applicants are invited to submit their applications through the appropriate channels.

Salary Range: $110,000 - $157,000 USD

May Mobility is an equal opportunity employer. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics, or any other protected status.

About the company

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.