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Open nowFirst seen 2 days ago

Remote Data Engineer

Globalchannelmanagement685 open roles

Where
Santa Clara, California, United States, Remote
Work mode
Remote
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Your applicationOpen nowRemote Data EngineerGlobalchannelmanagement · Santa Clara, California, United States, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Globalchannelmanagement's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

Remote Data Engineer needs 10 years experience

Remote Data Engineer requires:

Must be local top Santa Clara

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:

BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.

Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

Programming & Querying:

Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries

SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.

Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).

DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.

DevOps/CI/CD, Data Pipeline Orchestration:, SQL, Cloud Platform Expertise (GCP Focus):, Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

Remote Data Engineer duties:

Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.

Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics

Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.

Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

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