Remote Data Engineer

Globalchannelmanagement; Santa Clara (CA); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading technology firm is looking for a Remote Data Engineer with at least 10 years of experience, particularly in Google Cloud Platform. The role includes designing and optimizing analytical datasets, building robust data pipelines, and collaborating with product managers to meet data needs. The ideal candidate will have expert skills in BigQuery, Python, and advanced SQL, alongside experience in data orchestration and DevOps practices. This position is remote, located ideally near Santa Clara, California.

Qualifications

• 10 years of experience in data engineering, with an emphasis on cloud technologies.
• Expert-level skills in Google Cloud Platform services, particularly BigQuery.
• Proficient in Python and advanced SQL for data processing and performance tuning.

Responsibilities

• Design and optimize analytical datasets for high-volume reporting.
• Build and maintain data pipelines for business intelligence and analytics.
• Collaborate with teams to translate data needs into technical solutions.

Skills

Cloud Platform Expertise (GCP Focus)

BigQuery

Python

SQL

Data Pipeline Orchestration

DevOps/CI/CD

Job description

Remote Data Engineer needs 10 years experience

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.

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.