Senior Data Engineer
Tasks
- Build and own end to end data pipelines
- Build marketing attribution models
- Contribute to data architecture decisions mentor future hires
- Create reverse ETL workflows for conversion data
- Deliver trusted self serve datasets in Hex
- Develop ELT models for analytics AI marketing and operational use cases
- Establish data quality testing documentation observability and deployment standards
- Implement data testing monitoring alerting and recovery
- Improve pipeline reliability maintainability and performance
- Integrate and operationalize AI and LLM driven workflows
- Integrate external data sources advertising APIs and data vendors
- Optimize BigQuery workloads for performance scalability and cost
- Orchestrate and schedule data workflows with Dagster
Perks/Benefits
- 401k employer match
- Hackathons
- Health and wellness benefits
- Learning and development budget
- Open source support fund
- Pension contributions
- Remote-first work
- Sick days
- Vacation days
Skills/Tech-stack
Access Control | Airflow | BigQuery | CI/CD | Census | Cloud Pub/Sub | DBT | Dagster | Data Governance | Data Lineage | Data Observability | Dataflow | Dimensional Modeling | ELT | Git | Google Ads | Google Cloud | Google Cloud Pub/Sub | Hex | Hightouch | Kafka | LLM APIs | Looker | Meta | Mode | Prefect | Pub/Sub | Python | SQL | Tableau
Education
N/A
Roles
Regions
Countries
Albania | Austria | Bulgaria | Croatia | Czechia | Denmark | Estonia | Germany | Greece | Hungary | Ireland | Kosovo | Latvia | Lithuania | Montenegro | Norway | Poland | Portugal | Romania | Serbia | Slovakia | Slovenia | Spain | The Netherlands | Ukraine | United Kingdom
States
Cities
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