Data Software Engineer
Posted Updated
Description
- 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
Benefits
- Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
- Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
- Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
- Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
- Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
- Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices
- Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
- Good oral and written communication skills
- Strong knowledge of and experience with reporting packages
- Extensive software design and development skills
- Experience with AWS core technologies such as S3, EC2, RDS
- Ability to learn and adapt to new technologies and contribute in a productive environment
- Expertise in Python, SQL, microservices, databases, data pipelines
- MS in Computer Science, Electrical Engineering, or related field
- Technical expertise regarding data models, database design and development, data mining and segmentation techniques
- 1+ years of software engineering experience
- Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Experience working with autonomous vehicles or robotics
