Job Description
Job DescriptionJOB SUMMARYThe Senior/Staff Data Engineer IV designs, builds, and owns the data systems that turn information from ASI's 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 RESPONSIBILITIESBuild, maintain, and optimize production data pipelines that ingest, transform, validate, and publish fleet, telemetry, operational, business, and third-party dataDesign data models that support reporting, analytics, customer-facing products, operational workflows, and business-critical decision-makingOwn the systems that turn autonomous vehicle activity into trusted usage, performance, and operational dataDevelop and maintain data pipelines using Python, SQL, orchestration tools, transformation frameworks, and cloud data platformsOptimize existing pipelines for performance, reliability, scalability, and cost efficiency as data volume and business needs growImprove data quality through automated testing, validation checks, monitoring, alerting, and incident response processesBuild observability into data systems so pipeline failures, data-quality issues, latency problems, and schema changes are identified quicklyPartner with engineering teams to understand vehicle telemetry, robotics data, system logs, and operational contextPartner with fleet operations, product, finance, customer success, and leadership teams to translate business questions into durable data systemsSupport internal reporting and self-service analytics by creating reliable datasets, documentation, dashboards, and data access patternsDevelop systems that support workflows such as fleet performance analysis, utilization tracking, customer reporting, usage-based billing, and operational planningIntegrate data from APIs, cloud services, relational databases, robotics systems, business tools, and third-party platformsCreate and maintain data documentation, lineage, ownership, quality expectations, and definitions for key business and operational metricsSupport data governance, security, access control, and privacy practices for company and customer dataTroubleshoot pipeline failures, data inconsistencies, performance bottlenecks, and production data incidentsCollaborate with backend, cloud, robotics, product, and operations teams to ensure data systems are aligned with product and platform needsProvide hands-on technical leadership for data architecture, implementation standards, code quality, reliability, and maintainabilityReview data models, pipeline designs, and code from other engineers and provide constructive technical feedbackEvaluate and recommend tools, frameworks, and architectural improvements for the data platformSupport the development of scalable data practices that help non-technical users safely and confidently access the data they needESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLSBachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Mathematics, Statistics, or a related technical fieldTypically 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 experienceStrong proficiency with Python and SQLExperience building and operating production data pipelines and large-scale data systemsExperience with cloud data warehouses such as Snowflake, Redshift, BigQuery, or similar platformsExperience with relational databases such as PostgreSQL, MySQL, SQL Server, or similar systemsExperience with orchestration, transformation, or workflow tools such as Airflow, Dagster, dbt, Luigi, or similar frameworksExperience designing data models that support analytics, reporting, operations, product workflows, or financial processesExperience implementing data-quality checks, tests, monitoring, alerting, and observability for production data systemsAbility to reason through data correctness across multiple systems, pipelines, schemas, and business workflowsExperience troubleshooting production data issues and following problems through to resolutionAbility to communicate clearly with both technical and non-technical stakeholdersExperience enabling self-service data access through documentation, curated datasets, reporting tools, or data productsStrong software engineering fundamentals including version control, code review, testing, deployment practices, and maintainable designAbility to work independently, prioritize effectively, and make pragmatic technical decisions in a fast-moving environmentPREFERRED QUALIFICATIONSExperience working with telemetry, streaming data, event-driven systems, IoT data, robotics data, or data from connected physical machinesExperience with geospatial data, time-series data, vehicle data, sensor data, or system log dataExperience supporting data-intensive products, customer-facing platforms, fleet-management tools, or operational dashboardsExperience with AWS services such as S3, Glue, Lambda, ECS, RDS, Redshift, Kinesis, or similar cloud servicesExperience with Docker, ECS, Kubernetes, or other containerized deployment environmentsExperience integrating third-party APIs and external data sourcesExperience supporting usage-based billing, customer reporting, financial workflows, or business-critical operational systemsExperience with BI tools such as Tableau, Power BI, Looker, Sigma, Metabase, or similar toolsExperience with Infrastructure as Code, CI/CD pipelines, or cloud deployment practicesExperience working with autonomous vehicles, robotics, heavy equipment, industrial systems, or fleet operationsLEADERSHIP ATTRIBUTESTakes ownership of systems end to end and follows problems through to resolutionMoves comfortably between architecture, implementation, debugging, documentation, and stakeholder communicationMakes pragmatic technical decisions that balance reliability, speed, maintainability, and business valueCommunicates clearly across engineering, operations, finance, product, and leadership teamsBuilds systems that make data more trusted, observable, and usable across the companyProvides technical guidance without needing direct supervisory authorityBENEFITSASI offers a comprehensive benefits package, including:401k with employer matchGenerous HSA contributionEmployee Stock OptionsPTO, paid holidays, and flextimeASI covers 90% of employee medical plan costsEEO StatementAt 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.
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