Remote Senior Data Engineer

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Description:

  • Jobber is seeking a Senior Data Engineer to join their Data Platform team, working remotely in Canada.
  • The role involves building Jobber’s data infrastructure and systems to improve operational outcomes and enhance workflow efficiencies.
  • Responsibilities include designing, developing, and maintaining batch and real-time data pipelines within cloud infrastructure, preferably AWS.
  • The Senior Data Engineer will leverage Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate) to ensure smooth data operations.
  • The position requires developing tools and frameworks to automate manual processes and support cross-functional teams in data accessibility.
  • Collaboration with data analysts, scientists, and product teams is essential to extract actionable insights from data.
  • The role includes leading initiatives to research and propose new technologies for the data stack, focusing on performance and scalability.
  • The Senior Data Engineer will also be responsible for maintaining data integrity and trust across the organization.

Requirements:

  • Proven leadership skills and the ability to foster a culture of shared success in team environments.
  • Strong coding skills in Python and SQL are required.
  • Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt is necessary.
  • Experience with AWS data infrastructure, particularly Redshift, Glue, Lambda, and ECS Fargate, is essential.
  • Familiarity with handling large datasets using tools like Spark or similar is required.
  • Experience with Terraform for infrastructure management is necessary.
  • Knowledge of dimensional modeling, star schemas, and data warehousing in a cloud environment, preferably AWS Redshift, is required.
  • Understanding of CI/CD processes, data ingestion, and optimizing data flow across systems is essential.
  • Proficiency in working with high-volume, scalable data infrastructure is necessary.
  • Strong communication skills to collaborate effectively with both technical and non-technical teams are required.
  • Experience with AWS tools like EMR and SageMaker, familiarity with Kafka, knowledge of NoSQL databases, and hands-on experience with integration and APIs are considered a plus.

Benefits:

  • Jobber offers a total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind.
  • The company provides a retirement savings plan matching and stock options.
  • Employees receive support for all breaks, including vacation, health days, birthday off, and parental leave top-ups.
  • There is a dedicated Talent Development function, including Development Coaches, to help employees build their careers and reach their goals.
  • Employees have a unique opportunity to impact a $400-billion industry that currently lacks a dominant player.
  • Jobber fosters a supportive and humble work environment, emphasizing the importance of caring for customers and each other.
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