Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.
Position Summary:
As a member of our Software Engineering team, the Senior Data Engineer will lead the development of data-centric products that enhance our innovative BrainOS platform. This individual will be responsible for designing, constructing, and maintaining the systems and infrastructure to facilitate efficient collection, storage, and analysis of large sets of data. The Senior Data Engineer will have a strong foundation in computer science or software engineering, supplemented by significant experience in data storage and processing technologies. Exceptional problem-solving abilities, strong communication skills, and a proven ability to collaborate within a team are crucial for success in this role.
Essential Job Functions:
- Development of Data Pipelines : Design, develop, and maintain robust data pipelines to collect, process, and store large volumes of data.
- Data Architecture and Design : Design and implement complex data models. Optimize data storage and retrieval processes to support data analytics and business intelligence (BI) applications.
- Optimize Performance and Scalability : Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, implementing partitioning and sharding, and configuring cluster resources.
- Collaborate and Support : Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs.
- Mentor Junior Engineers : Offer guidance and mentorship to junior data engineers, oversee code reviews, and monitor performance.
- Quality Assurance and Documentation : Ensure data integrity and compliance with quality standards. Document the data engineering processes, systems, and their interactions.
- Data Security : Champion robust security measures leveraging encryption and access controls capable of passing regular compliance auditing.
- Assist in other duties and projects as assigned.
Education and/or Work Experience Requirements:
- BS or MS in Computer Science or applicable engineering discipline.
- 5-10 years of proven software development experience, with at least 5 of those years specifically focused on data engineering.
- Proven ability to lead data engineering projects from inception to successful completion while managing timelines, resources, and stakeholder expectations.
Required Knowledge, Skills, Abilities, and Other Characteristics:
- Excellent communication skills with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders, while collaborating closely with cross-functional teams.
- Strong proficiency in SQL as well as one or more programming languages such as Python, Go, or Typescript.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficient in data modeling with a strong understanding of complex data structures, along with a solid grasp of database design principles.
- Familiarity with data warehousing and storage systems such as BigQuery, Firestore, Redshift, Snowflake, MySQL, and PostgreSQL.
- Familiarity with streaming data pipelines and ETL development frameworks such as Apache Beam, Spark, Pub/Sub, and DBT.
- Understanding of data security best practices and experience with technologies such as encryption and data masking.
Things that make a difference:
- Experience with machine learning models and data science methodologies.
- Experience with Google Cloud and their data ecosystem.
- Familiarity with BI tools (e.g., Looker, Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark).
- Experience with infrastructure-as-code (e.g., Terraform, Pulumi), and containerization and orchestration tools (e.g., Docker, Kubernetes).
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.
Salary Range:
The anticipated salary range for candidates who will work in San Diego, California is $133,565 to $161,684. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.
In addition to base pay, our competitive total rewards package consists of:
- A discretionary annual target bonus
- Stock options
- 401(k) plan with match (no waiting period and immediate vesting)
- Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance
- Access to Flexible Spending Accounts (Medical and Dependent Care)
- Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown
Additional Perks include:
- Daily on-site lunch available in the San Diego office
- On-campus gym including pool and tennis courts in the San Diego office
- Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events
- Internal continuous learning events
- Opportunities to share your own interests and hobbies with the Company