Senior Data Engineer

Required skills

Requirements

5+ years of experience in a Data Engineering role
Expertise with SQL, both querying and database administration
Experience with SQL, Python, JavaScript, C#
Experience with SaaS product development, databases, and data models
Experience working with Data Analysts
Experience with modern cloud-based solutions
In-depth technical experience with both dimensional and transactional data models
Ability to design, implement, and troubleshoot data pipelines with many data sources
Comfortable maintaining cloud platforms, Data Operations tasks, and heavy automation
Strong communication skills in both spoken and written English

Experience with our Data Stack (Airflow, AWS, Data Vault, dbt, Python, Snowflake, Tableau)
Preferred DB systems: Snowflake, PostgreSQL, MSSQL
Startup experience
Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

Automate regular data processing to consistently provide high-quality data for analysis
Build and maintain a cloud data warehouse (Snowflake)
Utilize modern data stack technologies, with a focus on SaaS product data modeling
Design, develop, and manage data workflows, pipelines, and cloud-based ETL processes
Provide reliable infrastructure for storing, processing, and visualizing large data sets
Work with leadership, key stakeholders, and a growing team of data lovers
Full life-cycle (back-end development, data model design, business/data analyst support)
Enable teams to deliver increased insights and better products
Transform and manage data so that it can be used by analysts, business users, and customers

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