Data Engineer
Join Cognition as a Data Engineer to own the full data stack and tackle some of the world's biggest challenges in AI.
Posted by employer 10 months ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
What you'll build
- Design and manage database architecture and data models
- Build and maintain ETL/ELT pipelines and orchestration workflows
- Create and manage new data integrations across internal and external systems
- Own business reporting: datasets, dashboards, metrics, and self-serve analytics
- Ensure data quality, observability, governance, and documentation
Must have
- 4+ years in a data engineering, data science, or full-stack data role
- Expert on SQL and Python
- Experience with data modeling, warehouse architecture, and BI-oriented schema design
- Hands-on experience with ETL/ELT tools
- Experience building or maintaining BI reporting
- Strong knowledge of statistics and experimentation
Practical constraints
- Based in SF or NYC
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Data Engineer at Cognition is responsible for managing the entire data stack, which includes designing database architecture, building ETL/ELT pipelines, and ensuring data quality and accessibility. Proficiency in SQL and Python is essential, along with experience in data modeling and BI reporting tools. This role is suited for individuals with over four years of experience in data engineering or related fields, particularly those who thrive in a high-caliber team focused on solving complex AI challenges.
Joblaze insights
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Data Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Dagster, ELT, ETL, Metabase, Python.
- What seniority level is this role?
- Cognition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Engineer role at Cognition.
From the original posting
About the Role
We're hiring a technical Data Engineer to own our full data stack – from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance.
In this role you will:
Design and manage database architecture and data models
Build and maintain ETL/ELT pipelines and orchestration workflows
Create and manage new data integrations across internal and external systems
Own business reporting: datasets, dashboards, metrics, and self-serve analytics
Ensure data quality, observability, governance, and documentation
Requirements for the role:
4+ years in a data engineering, data science, or full-stack data role
Expert on SQL and Python (required)
Experience with data modeling, warehouse architecture, and BI-oriented schema design
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
Experience building or maintaining BI reporting (Metabase a plus)
Experience developing scalable backend heavy applications
Strong knowledge of statistics and experimentation
Based in SF or NYC
Standard company text repeated across Cognition's postings is omitted here.