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Senior Data Engineer - Remote

Posted 1 week ago
Data Analysis
Full Time
Canada, USA

Overview

This position is for a Senior Data Engineer with extensive experience in data engineering, focusing on operationalizing data pipelines and integrating them into machine learning models.

In Short

  • 100% remote opportunities for Canada and the United States.
  • Over seven years of expertise in data engineering.
  • Full-time employment role required.
  • Experience in mentoring others.
  • Proficient in Spark and DBT.
  • Knowledgeable in Terraform and experienced with Kinesis.
  • Familiar with Redshift and competent in S3.
  • Experienced with Snowflake.
  • Strong communication abilities.
  • Passionate about making scientific knowledge accessible.

Requirements

  • 7+ years of experience in data engineering.
  • Educational background in computer science.
  • Experience in mentoring and guiding teams.
  • Proficiency in Spark and DBT.
  • Familiarity with Terraform and Kinesis.
  • Knowledge of Redshift and S3.
  • Experience with Snowflake.
  • Ability to operationalize data pipelines.
  • Strong communication skills.
  • Passion for creating visual software solutions.

Benefits

  • Work from anywhere in Canada or the USA.
  • Competitive salary and benefits.
  • Opportunity to work with cutting-edge technologies.
  • Collaborative and innovative work environment.
  • Professional development opportunities.
  • Supportive team culture.
  • Flexible working hours.
  • Access to industry-leading resources.
Human Capital Solutions logo

Human Capital Solutions

Human Capital Solutions, Inc. is a recruitment firm dedicated to connecting talented professionals with innovative companies. They are currently representing a well-funded and dynamic start-up that is on the lookout for an experienced LLM Founding AI/ML Engineer. This start-up is focused on leveraging advanced machine learning technologies and is seeking a key individual to join their team, emphasizing the importance of fine-tuning and debugging large language models. The company values candidates with a strong technical background and startup experience, aiming to build a robust team in the rapidly evolving AI landscape.

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