Senior Data Engineer
Senior Data Engineer
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$ 160000 - 220000
1 Vacancy
Job Description
A bit about Cantina:
Cantina founded by Sean Parker is a new social platform with the most advanced AI character creator. Build share and interact with AI bots and your friends directly in the Cantina or across the internet.
Cantina bots are lifelike social creatures capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI imagine someone new or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice video and text.
If youre excited about the potential AI has to shape human creativity and social interactions join us in building the future!
A bit about the role:
Cantina is building a groundbreaking AI-powered social platform where users create hyper-realistic AI characters that can talk think and interact across group chats video and voice. To make that magic happen we rely on a robust and flexible data infrastructureespecially when data lives outside traditional warehouses.
As a Data Engineer on the Cantina Labs team youll work on ingesting and processing high-volume data streams directly from backend systems and servicesnot just from the warehouse. Youll play a critical role in building reliable pipelines and data products that power insights product features and real-time systems.
A bit about the work:
Build and maintain scalable data pipelines that ingest data from backend systems and services including Kafka-based event streams
Work closely with engineering and product teams to understand data needs and design integrations
Ensure data quality availability and reliability across batch and streaming environments
Collaborate on data modeling tooling and frameworks for analytics experimentation and ML pipelines
Improve performance and cost-efficiency of existing systems and pipelines
Help define best practices around monitoring alerting data testing and observability
A bit about you:
5 years of experience in data engineering or software engineering focused on data-intensive systems
Computer Science or related degree (i.e. Applied Math Statistics Econometrics Computational Biology Bioinformatics)
Experience with Kafka or other event streaming platforms (e.g. Pulsar Kinesis)
Proficiency with Python SQL and tools like Airflow dbt or similar
Experience working with cloud infrastructure (preferably AWS or GCP)
Comfort navigating unstructured data and distributed systems
Strong communication and collaboration skillsthis is a cross-functional role
Bonus Points For
Experience with real-time data processing frameworks (e.g. Flink Spark Streaming)
Familiarity with backend services microservices architecture or observability stacks
Exposure to ML data pipelines or experimentation frameworks
Location
This is a hybrid role in-person in the San Francisco Bay Area.
Pay Equity:
In compliance with Pay Transparency Laws the base salary range for this role is between $00 for those located in San Francisco and Los Angeles CA. When determining compensation a number of factors will be considered including skills experience job scope location and competitive compensation market data.
Benefits:
Health Care 99% of premiums for medical vision dental are fully paid for by Cantina plus One Medical membership.
Monthly Wellness Stipend $500/month to use on whatever youd like!
Rest and Recharge 15 PTO days per year 10 sick days all Federal holidays and 2 floating holidays.
401(K) Eligible to participate on day one of employment.
Parental Leave & Fertility Support
Competitive Salary & Equity
Lunch and snacks provided for in-office employees.
WFH equipment provided for full-time hybrid/remote employees.
Required Experience:
Senior IC
Employment Type
Full-Time
