SeniorStaff Data Engineer IV

JOB SUMMARY

The Senior/Staff Data Engineer IV designs builds and owns the data systems that turn information from ASIs autonomous vehicle platforms field operations fleet activity telemetry business systems and third-party sources into reliable trusted data for the company. This role sits at the intersection of robotics cloud infrastructure data engineering and business operations helping teams understand fleet performance vehicle usage system health customer activity and operational trends.

This is a high-ownership hands-on engineering role for someone who is strong in Python and SQL and comfortable building production data systems that are reliable observable scalable and easy for others to use. The role partners closely with software autonomy field operations product customer-facing finance and leadership teams to create durable data pipelines models and tools that support internal reporting customer-facing products operational decision-making and business-critical workflows.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Build maintain and optimize production data pipelines that ingest transform validate and publish fleet telemetry operational business and third-party data
• Design data models that support reporting analytics customer-facing products operational workflows and business-critical decision-making
• Own the systems that turn autonomous vehicle activity into trusted usage performance and operational data
• Develop and maintain data pipelines using Python SQL orchestration tools transformation frameworks and cloud data platforms
• Optimize existing pipelines for performance reliability scalability and cost efficiency as data volume and business needs grow
• Improve data quality through automated testing validation checks monitoring alerting and incident response processes
• Build observability into data systems so pipeline failures data-quality issues latency problems and schema changes are identified quickly
• Partner with engineering teams to understand vehicle telemetry robotics data system logs and operational context
• Partner with fleet operations product finance customer success and leadership teams to translate business questions into durable data systems
• Support internal reporting and self-service analytics by creating reliable datasets documentation dashboards and data access patterns
• Develop systems that support workflows such as fleet performance analysis utilization tracking customer reporting usage-based billing and operational planning
• Integrate data from APIs cloud services relational databases robotics systems business tools and third-party platforms
• Create and maintain data documentation lineage ownership quality expectations and definitions for key business and operational metrics
• Support data governance security access control and privacy practices for company and customer data
• Troubleshoot pipeline failures data inconsistencies performance bottlenecks and production data incidents
• Collaborate with backend cloud robotics product and operations teams to ensure data systems are aligned with product and platform needs
• Provide hands-on technical leadership for data architecture implementation standards code quality reliability and maintainability
• Review data models pipeline designs and code from other engineers and provide constructive technical feedback
• Evaluate and recommend tools frameworks and architectural improvements for the data platform
• Support the development of scalable data practices that help non-technical users safely and confidently access the data they need

ESSENTIAL EDUCATION WORK EXPERIENCE JOB SKILLS

• Bachelors degree in Computer Science Computer Engineering Data Engineering Information Systems Mathematics Statistics or a related technical field
• Typically 5 years of professional experience in data engineering software engineering analytics engineering or related data-platform work; Staff-level candidates will typically bring deeper architecture ownership and broader technical leadership experience
• Strong proficiency with Python and SQL
• Experience building and operating production data pipelines and large-scale data systems
• Experience with cloud data warehouses such as Snowflake Redshift BigQuery or similar platforms
• Experience with relational databases such as PostgreSQL MySQL SQL Server or similar systems
• Experience with orchestration transformation or workflow tools such as Airflow Dagster dbt Luigi or similar frameworks
• Experience designing data models that support analytics reporting operations product workflows or financial processes
• Experience implementing data-quality checks tests monitoring alerting and observability for production data systems
• Ability to reason through data correctness across multiple systems pipelines schemas and business workflows
• Experience troubleshooting production data issues and following problems through to resolution
• Ability to communicate clearly with both technical and non-technical stakeholders
• Experience enabling self-service data access through documentation curated datasets reporting tools or data products
• Strong software engineering fundamentals including version control code review testing deployment practices and maintainable design
• Ability to work independently prioritize effectively and make pragmatic technical decisions in a fast-moving environment

PREFERRED QUALIFICATIONS

• Experience working with telemetry streaming data event-driven systems IoT data robotics data or data from connected physical machines
• Experience with geospatial data time-series data vehicle data sensor data or system log data
• Experience supporting data-intensive products customer-facing platforms fleet-management tools or operational dashboards
• Experience with AWS services such as S3 Glue Lambda ECS RDS Redshift Kinesis or similar cloud services
• Experience with Docker ECS Kubernetes or other containerized deployment environments
• Experience integrating third-party APIs and external data sources
• Experience supporting usage-based billing customer reporting financial workflows or business-critical operational systems
• Experience with BI tools such as Tableau Power BI Looker Sigma Metabase or similar tools
• Experience with Infrastructure as Code CI/CD pipelines or cloud deployment practices
• Experience working with autonomous vehicles robotics heavy equipment industrial systems or fleet operations

LEADERSHIP ATTRIBUTES

• Takes ownership of systems end to end and follows problems through to resolution
• Moves comfortably between architecture implementation debugging documentation and stakeholder communication
• Makes pragmatic technical decisions that balance reliability speed maintainability and business value
• Communicates clearly across engineering operations finance product and leadership teams
• Builds systems that make data more trusted observable and usable across the company
• Provides technical guidance without needing direct supervisory authority

BENEFITS

ASI offers a comprehensive benefits package including:

• 401k with employer match
• Generous HSA contribution
• Employee Stock Options
• PTO paid holidays and flextime
• ASI covers 90% of employee medical plan costs
  

EEO Statement

At Autonomous Solutions Inc. (ASI) we are committed to fostering a diverse inclusive and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race color religion sex national origin age disability genetic information veteran status sexual orientation gender identity or any other legally protected characteristic. ASI complies with all applicable federal state and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

This is a full-time employment opportunity.

Your employment with ASI will be at will meaning that either you or ASI may terminate your employment at any time for any lawful reason with or without cause or advance notice.