Senior Data Infrastructure Engineer
About The Position
We are seeking a Senior Data Infrastructure Engineer to own the design and development of scalable data infrastructure, ETL pipelines, and warehouse architecture that power analytics, operational reporting, machine insights, and future AI/ML initiatives. You will work cross-functionally with software, robotics, operations, and product teams to ensure data is reliable, accessible, and actionable across the organization. This is a highly impactful opportunity for someone who enjoys building systems from the ground up and wants significant ownership over the future of data architecture at a fast-growing startup. As our first hire in this realm, you will play a foundational role in shaping how data flows throughout the organization while working on cutting-edge autonomous robotic technology generating real-world operational data. If you thrive in fast-paced environments, enjoy solving complex infrastructure challenges, and want direct impact on company-wide decision making, this is an opportunity to help define and scale the future of our data platform.
Requirements
- 5+ years of experience in data engineering, data infrastructure, or backend infrastructure engineering roles
- Strong experience designing and building ETL/ELT pipelines in production environments
- Deep understanding of modern data warehouse architecture and data modeling principles
- Strong programming experience in Python, SQL, and/or other backend-oriented languages
- Experience working with cloud-based data platforms and infrastructure (AWS, GCP, or Azure)
- Experience with technologies such as Snowflake, Redshift, BigQuery, Databricks, Kafka, Airflow, dbt, or similar modern data stack tools
- Strong understanding of database design, query optimization, and distributed data systems
- Experience handling large-scale, high-volume datasets from connected devices, IoT systems, or operational platforms is a plus
- Ability to operate independently and drive technical architecture decisions
- Strong communication and collaboration skills in cross-functional environments
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines that ingest and process large volumes of operational and machine-generated data
- Architect and manage the company’s data warehouse and overall data infrastructure strategy
- Develop reliable systems for data collection, transformation, storage, and retrieval
- Create scalable data models that support analytics, business intelligence, operational monitoring, and future machine learning applications
- Partner closely with software, robotics, product, and operations teams to define data requirements and improve data accessibility
- Implement data quality, governance, observability, and monitoring processes to ensure data integrity and reliability
- Optimize database and warehouse performance, scalability, and cost efficiency
- Build tools and infrastructure to support reporting, dashboards, and internal analytics workflows
- Help establish best practices around data architecture, pipeline reliability, documentation, and engineering standards
- Support future real-time and streaming data initiatives across connected robotic systems
Benefits
- Equity and benefits are included for all full-time employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
