Data Platform Engineer
Build and own the data infrastructure and internal tooling for engineering, analytics, and business teams at TypeSafe AI.
Posted by employer 5 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build and maintain data pipelines
- Support data transformations
- Manage data access and permissioning
- Improve reliability and performance
- Work with teams to support data needs
Must have
- Experience in data engineering
- Familiar with Kafka and ClickHouse
- Comfortable with SQL and data transformations
- Understand data infrastructure for BI and analytics
Nice to have
- Built and operated large-scale data systems
- Experience building internal tools
- Worked on a team with strong engineering standards
- Familiar with AI and its practical applications
AI in the day-to-day
We combine the reasoning of LLMs with the reliability of code for trustworthy AI.
Requirements
- Visa
- Sponsorship available
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
In this role, the Data Platform Engineer is responsible for developing and maintaining the data infrastructure that supports various teams within TypeSafe AI, focusing on data ingestion, storage, and access controls. Key skills include experience with data engineering, familiarity with technologies like Kafka and ClickHouse, and proficiency in SQL and data transformations. This position is ideal for someone with a background in building large-scale data systems and a collaborative mindset, suited for a small, dedicated team in a fast-paced environment.
Joblaze insights
Quick facts
- Is the Data Platform Engineer role remote?
- No — this is an on-site role in San Francisco, United States.
- Where is the role based?
- TypeSafe AI is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, ClickHouse, Dagster, Kafka, SQL.
- Does TypeSafe AI sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- TypeSafe AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Platform Engineer role at TypeSafe AI.
From the original posting
About the role
You’ll build and own the data infrastructure and internal tooling that support our engineering, analytics, and business teams. You’ll work across ingestion, storage, transformations, and access controls, helping make our data reliable and easy to use.
Responsibilities include:
Build and maintain data pipelines, infrastructure, and internal tools
Support data transformations, analytical models, and BI workflows
Manage data access and permissioning
Improve reliability, performance, and data quality
Work with teams across the company to understand and support their data needs
We expect that you
Have experience in data engineering, infrastructure, or backend systems
Are familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies
Are comfortable with SQL, data transformations, and permissioning
Understand how data infrastructure supports BI and analytics
Take ownership, collaborate well, and adapt to changing requirements
Are excited about our mission and working on a small team
We are hoping that you
Have built and operated large-scale, production data systems
Have experience building internal tools and supporting analytics
Have worked on a team with strong engineering standards
Are familiar with AI and its practical applications
We provide
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
Standard company text repeated across TypeSafe AI's postings is omitted here.