Senior Data Platform Engineer
Apollo.ioFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires hiring in NYC and the tri-state area only, with the office in Manhattan’s SoHo neighborhood, and team members come to the office on average four days a week.
Key skills include designing and maintaining data assets using Dagster, implementing ELT pipelines and transformations with dbt, Redshift, and Python, and applying software engineering best practices like testing, CI/CD, modularity, and observability.
This information is not specified in the job description.
This is a small, high-leverage team following a federated model of data product ownership, where the role reports to the Lead Data Engineer heading up the Data organization.
Strong candidates will have experience owning data delivery for business use cases, building scalable pipelines with tools like Dagster, dbt, Redshift, and Python, and applying software engineering principles while collaborating with stakeholders through design documents and ADRs.
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