Senior Data Engineer, Tenstorrent

• The ideal candidate will demonstrate proficiency in clarifying ambiguous information, establishing structured data models from unstructured data, and building end-to-end data processing automations running on a modern and scalable hybrid-cloud data infrastructure
• Additionally, the candidate should have extensive experience writing Python data processing code, Airflow DAGs, and working with SQL and no-SQL databases
• They should view self-serve data analytics and ML applications that leverage the curated datasets they produce as their customers
• The ideal candidate highly values and is familiar with IaC, CI, monitoring, and documentation to achieve the highest levels of automation, quality, and functionality
• Advanced OOP Python programming skills, particularly in data processing
• Experience with the SQLAlchemy ORM
• SQL database and schema design, management, and optimization expertise
• Hands-on experience with AWS services including S3, EC2, IAM, SFTP, Cloudwatch, and Lambda
• Familiarity with IaC technologies, such as Terraform
• Experience with time-series (TimescaleDB) and NoSQL databases (Elasticsearch)
• Experience deploying and working with data analytics, dashboarding and visualization tools, such as Apache Superset, Grafana, Kibana
• Experience building RESTful APIs
• Proficiency in containerization technologies (Docker, Kubernetes)
• Experience with Agile development methodologies and tools, including Jira and Git, and familiarity with industry-standard software development lifecycle processes
• Comfortable working independently and self-motivated to learn and excel in a fast-paced, innovative environment
• Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process

• The Senior Data Engineer in the Data Science and Engineering team will play a key role in fostering a data-driven culture within the organization
• This will be achieved by designing, implementing, and maintaining robust data pipelines and architectures that enable efficient and reliable collection, processing, and storage of data from diverse sources
• The Senior Data Engineer will guide and empower stakeholders across the organization to create and leverage high-quality, curated datasets and information, thereby facilitating data-driven decision-making and innovation
• Develop and implement scalable end-to-end data pipelines using modern data processing and orchestration techniques, for both batch and streaming data
• Lead collaboration with data producers and data consumers to identify clear product requirements and structure an effective implementation of solutions, guiding the overhaul of pre-existing methods, when necessary
• Identify, evolve, and champion data/software engineering best practices and AI automations, as they best fit a small and agile team
• Automate infrastructure as code using Terraform
• Collaborate cross-functionally to define priorities, identify new projects, and establish effective partnerships to contribute to our data engineering roadmap.
• Help envision and build the future of our data platform and data pipelines. You will have a remarkable impact on the overall tech stack we use to process the rich data available at Tenstorrent

Total funding: $1.3bn

Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".