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Data Engineer – Data Engineering
| Company | Plaid |
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| Location | San Francisco, CA, USA |
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| Salary | $163200 – $223200 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Junior, Mid Level |
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Requirements
- 2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale.
- Experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes).
- Value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.
Responsibilities
- Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.
- Have data quality and performance top of mind while designing datasets.
- Advocating for adopting industry tools and practices at the right time.
- Owning core SQL and Python data pipelines that power our data lake and data warehouse.
- Well-documented data with defined dataset quality, uptime, and usefulness.
Preferred Qualifications
- Experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.
- Experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka.
