Senior Data Engineer — AI-Driven Data Platform

Mixpeek

San Francisco (CA)

Presencial

USD 180.000 - 220.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Hubs in SF/NYC
Flexible PTO
Health insurance
Parental leave (12 weeks)
401(k) with match
Home stipend
Tech stipend
Wellness allowance
AI research collaboration

Descripción de la vacante

You.com is hiring a hands-on Data Engineer to build and scale a modern data platform. You will work with Finance, Engineering, Product, and Analytics to develop reliable, high-performance pipelines.

The role involves batch and real-time processing using Databricks, AWS, Kafka, and various 3rd party data sources, enabling data activation and AI-driven applications. You will contribute to data quality, accessibility, and usability across the organization, powering dashboards, finance metrics, and

Formación

  • 6+ years of data engineering or related field.
  • Hands-on with Databricks, AWS and Kafka for large-scale data processing.
  • Proficient in Python (PySpark) and SQL.
  • Experience building ETL/ELT pipelines (DBT/Airflow or similar).
  • Experience with data ingestion tools such as Fivetran.

Responsabilidades

  • Build and maintain scalable batch and streaming data pipelines.
  • Ingest data from Salesforce, billing, product events, API logs.
  • Design and optimize ETL/ELT workflows with DBT, PySpark, SQL.
  • Collaborate with Finance to develop data solutions and metrics.
  • Create dashboards and reporting layers for analytics and business performance.

Conocimientos

Data engineering
Databricks
Python (PySpark)
SQL
Data modeling
Analytics & BI
Cross-functional collaboration

Herramientas

Databricks
Spark
Kafka
AWS
DBT
Airflow
Fivetran

Descripción del empleo

You.com is hiring a hands-on Data Engineer to build and scale a modern data platform. You will work with Finance, Engineering, Product, and Analytics to develop reliable, high-performance pipelines.

The role involves batch and real-time processing using Databricks, AWS, Kafka, and various 3rd party data sources, enabling data activation and AI-driven applications. You will contribute to data quality, accessibility, and usability across the organization, powering dashboards, finance metrics, and

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