Hybrid Senior Data Engineer

Posted 7 hours ago

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About the role

  • Senior Data Engineer at Shopmonkey building and maintaining data infrastructure. Driving strategic decisions for tools and processes while ensuring data quality across platforms.

Responsibilities

  • Continuous Enhancement: Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability.
  • Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies.
  • Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow.
  • Troubleshooting: Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges.
  • Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes.
  • Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects.
  • Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation.
  • Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies.
  • Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level.
  • Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions.

Requirements

  • 5+ years of data engineering experience and Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree*
  • Proven experience with Kubernetes and Cloud infrastructure (GCP preferred)
  • Strong proficiency in Python and SQL for data processing and automation.
  • Expertise in orchestration tools such as Airflow, Docker, etc..
  • Understanding of performance optimization and cost-effectiveness in data warehouses like Snowflake, ClickHouse, etc.
  • Ability to work effectively in a collaborative, cross-functional environment.
  • Strong problem-solving skills with a proactive and solution-oriented mindset.
  • Experience with additional orchestration tools like Dogster or Meltano.
  • Knowledge of DBT, particularly in setting up new projects.
  • Demonstrated ability to build and maintain complex data pipelines and data flows.

Benefits

  • Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date
  • Short term and long term disability
  • Employee assistance program
  • Reimbursement for a personal health and wellness membership
  • Generous parental leave
  • 401(k) available upon hire
  • 11 paid holidays
  • Flexible time off - take the time off you need!
  • Matching donations for approved charitable organizations
  • Group volunteer efforts

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

$165,000 - $200,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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