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Where this job mentions Go
the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and d
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- San Francisco HQ
- Country
- San Francisco HQ (ATS location fields)
- Work mode
- Hybrid (ATS workplaceType/location)
- Salary
- $190.8K - $238.8K (ATS compensation field)
- Stack
- Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. (Source language/tool mention)
- Stack
- - You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. (Source language/tool mention)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Senior Data EngineerSource details
Company identifier: plaid
Source ID: ashby:plaid:eeb094c3-da73-411e-8dda-b3f4ee397f97
Board: ashby:plaid
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: All Departments
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