As a Senior Data Engineer , you will play a key role in building and scaling the companys data infrastructure. Youll be responsible for creating the foundation that enables teams across the organization to access, analyze, and leverage data effectively. Working closely with Data Science, Delivery, Product, GTM, and Analytics teams, youll design and maintain data pipelines, manage our data warehouse, and transform raw data into structured, reliable assets that power business and product decisions.
What Youll Do
Build and Manage Data Infrastructure: Own and maintain Nomas data warehouse infrastructure, ensuring scalability, reliability, and performance
Develop Data Pipelines: Design, build, and maintain data pipelines that transform company data into structured, queryable assets
Enable Data-Driven Decisions: Partner with Engineering, Data Science, Product and Analytics teams to deliver trusted data foundations and actionable insights.
Create BI Dashboards: Build and maintain dashboards and reporting layers that support product, and operational decision-making
Ensure Data Quality and Accessibility: Implement best practices for data modeling, governance, monitoring, and reliability
Requirements:
5+ years of experience in Data Engineering roles
Proven experience designing and building data pipelines and data infrastructure at scale
3+ years of experience working with modern data warehouse technologies such as Snowflake or Databricks
Strong SQL skills and experience working with large-scale datasets
Experience creating data models and BI dashboards serving business, product, or analytics teams
Strong understanding of data architecture, performance, and scalability considerations
Ability to work cross-functionally with technical and non-technical stakeholders
Strong ownership mindset and a pragmatic approach to problem solving
5+ years of experience in Data Engineering roles
Proven experience designing and building data pipelines and data infrastructure at scale
3+ years of experience working with modern data warehouse technologies such as Snowflake or Databricks
Strong SQL skills and experience working with large-scale datasets
Experience creating data models and BI dashboards serving business, product, or analytics teams
Strong understanding of data architecture, performance, and scalability considerations
Ability to work cross-functionally with technical and non-technical stakeholders
Strong ownership mindset and a pragmatic approach to problem solving
This position is open to all candidates.
