Our client, a fast-growing SaaS startup, is hiring a Data Engineer to help design and scale the company’s modern data infrastructure. In this role, you’ll work cross-functionally with engineering, analytics, and product teams to ensure data is reliable, accessible, and actionable across the organization.
We’re looking for someone who thrives in a startup environment, resourceful, collaborative, and motivated to build data systems that drive smart business and product decisions.
What You’ll Do
- Design, build, and maintain scalable data pipelines and ETL processes
- Develop and optimize data models to support analytics and product needs
- Partner with engineers and analysts to ensure clean, consistent, and well-structured data
- Implement best practices for data governance, quality, and documentation
- Work with modern cloud and data tools to improve efficiency and scalability
- Identify and resolve data-related issues across teams
What We’re Looking For
- 4+ years of experience as a Data Engineer or in a similar data-focused role
- Strong SQL skills and experience with relational databases (PostgreSQL, Snowflake, Redshift, etc.)
- Hands-on experience with ETL tools (dbt, Airflow, Fivetran, etc.)
- Proficiency with Python or another scripting language for data manipulation
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with data warehousing, APIs, and event streaming tools (Kafka, Pub/Sub, etc.)
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
Bonus Points
- Experience in SaaS or startup environments
- Exposure to BI tools (Looker, Tableau, or Mode)
- Understanding of data privacy and compliance best practice
