Remote Data Engineer: GCP, BigQuery & Python

Dura Digital Inc.

United States

Remote

USD 110,000 - 170,000

Full time

10 days ago
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Benefits offered by this job

Competitive salary
Group benefits
Training provided
Tools and equipment provided
Diverse international team

Job summary

Dura Digital Inc. is seeking a highly motivated Data Engineer to join our team. You will design and implement data architectures, leverage GCP and BigQuery, and optimize data delivery while collaborating with stakeholders to meet business requirements.

Ideal candidates will have Python proficiency, SQL/NoSQL knowledge, and experience with data pipelines. This remote role offers opportunities to scale infrastructure and impact analytics across client projects.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven data engineering experience with cloud platforms.
  • Proficiency with GCP, BigQuery, and Python required.
  • SQL/NoSQL knowledge for data modelling and optimization.
  • Experience with data pipelines and Vertex AI.
  • Fluent in English and Spanish.

Responsibilities

  • Design and implement data architectures and pipelines.
  • Leverage GCP and BigQuery to optimize data delivery.
  • Identify and implement internal process improvements for scalability.
  • Collaborate with stakeholders to translate business needs.
  • Work with analytics teams to enhance data system functionality.
  • Create and maintain optimal data pipeline architecture.
  • Build analytics tools to provide actionable business insights.

Skills

Analytical skills
Communication skills
Problem solving
English and Spanish
Team collaboration

Education

Bachelor's degree (CS/Engineering)

Tools

GCP
BigQuery
Python
Vertex AI
SQL/NoSQL

Job description

Dura Digital Inc. is seeking a highly motivated Data Engineer to join our team. You will design and implement data architectures, leverage GCP and BigQuery, and optimize data delivery while collaborating with stakeholders to meet business requirements.

Ideal candidates will have Python proficiency, SQL/NoSQL knowledge, and experience with data pipelines. This remote role offers opportunities to scale infrastructure and impact analytics across client projects.

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