Senior Data Engineer
Core
Build and maintain real-time and batch data pipelines, manage data warehouse infrastructure, and develop dbt models to support analytics products for marketing, product, engineering, sales, finance, and operations.
Role type
Senior Data Engineer (Analytics Support)
Builds
Real-time/batch data pipelines, data warehouse structures, and analytics-ready datasets for Tillster's digital ordering platform.
Domain
SaaS / Restaurant Technology / Data Engineering
Required skills
Python, SQL, Cloud platforms (AWS), Data orchestration (Airflow), dbt, BI tools (Looker/Tableau), Real-time ingestion tools
Preferred skills
MarTech stack integrations (Segment, Braze, Acoustic, MoEngage), LookML, GA4, Data quality frameworks, CI/CD, Basic ML concepts
Technologies
Redshift, BigQuery, Snowflake, Airflow, Jenkins, dbt, Looker, Tableau, AWS, Snowpipe, Stitch, Fivetran, Kinesis
Responsibilities
Own and maintain data warehouse infrastructure; Build and maintain real-time, batch, and streaming data pipelines; Design data structures for decision-making; Support MarTech stack data needs; Modify and maintain SQL/Python ELT processes; Troubleshoot orchestration jobs; Provide ad-hoc SQL and analysis support; Maintain Looker dashboards; Develop and maintain dbt models; Implement data quality checks.
Seniority
Senior, hands-on IC