Responsibilities:
- Create and maintain optimal data processing pipeline architecture
- Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Identify, analyze, and interpret trends or patterns in complex data sets
- Work with stakeholders including the Executive, Engineering, and Operation teams to assist with data-related technical issues and support their data infrastructure, analysis, and reporting needs
- Keep our data secure through multiple data centers and AWS regions
Required Skills:
- MS in Computer Science, Electrical Engineering, or related field
- 1+ years of software engineering experience
- Good oral and written communication skills
- Expertise in Python, SQL, microservices, databases, data pipelines
- Technical expertise regarding data models, database design and development, data mining and segmentation techniques
- Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
- Experience with AWS core technologies such as S3, EC2, RDS
- Extensive software design and development skills
- Ability to learn and adapt to new technologies and contribute in a productive environment.
- Strong knowledge of and experience with reporting packages
Preferred Skills
- Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Experience working with autonomous vehicles or robotics.
Skills Required
- MS in Computer Science, Electrical Engineering, or related field
- 1+ years of software engineering experience
- Good oral and written communication skills
- Expertise in Python
- Expertise in SQL
- Expertise in microservices
- Expertise in databases
- Expertise in data pipelines
- Technical expertise in data models, database design and development, data mining and segmentation techniques
- Experience with large scale data processing (MapReduce, Spark, Kafka)
- Experience with AWS core technologies (S3, EC2, RDS)
- Extensive software design and development skills
- Ability to learn and adapt to new technologies
- Strong knowledge of and experience with reporting packages
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Experience working with autonomous vehicles or robotics
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai








