Back to Remote jobs  >   DevOps / Sysadmin
Cloud DevOps Engineer @Collectivei
DevOps / Sysadmin
Salary -
Remote Location
remote in Canada Canada
Job Type Full-time
Posted 6d ago
🙈  Does this job need an edit?

[Hiring] Cloud DevOps Engineer @Collectivei

Dec 04, 2024 - Collectivei is hiring a remote Cloud DevOps Engineer. 📍Location: Canada.

At Collective[i], we value diversity of experience, knowledge, backgrounds and people who share a commitment to building a company and community on a mission to help people be more prosperous. We recruit extraordinary individuals and provide them the platform to contribute their exceptional talents and the freedom to work from wherever they choose. Our company is a wonderful place to learn and grow alongside an incredible and tenacious team. 

Collective[i] was founded by three entrepreneurs with over $1B of prior exits. Their belief in the power of Artificial Intelligence to transform life as we know it and improve economic outcomes at massive scale drove the decision to invest over $100m in the company which has created a state-of-the-art platform for prosperity that helps companies generate sales and people expand their professional connections. In the last decade, Collective[i] has grown into a powerful community of scientists, engineers, creative talent and more, working together to help people succeed in business. 

We are looking for a Senior Data Engineer to join our team. We are seeking an experienced Senior Data Engineer with a strong background in AWS DevOps and data engineering to join our team. In this role, you will manage and optimize our data infrastructure, focusing on both data engineering and DevOps responsibilities. A key aspect of this role involves deploying machine learning models to AWS using SageMaker, so expertise with AWS and SageMaker is essential. Experience with Snowflake is highly desirable, as our data environment is built around Snowflake for analytics and data warehousing.


Responsibilities:
  • Design, develop, and maintain ETL pipelines to ensure reliable data flow and high-quality data for analytics and reporting.
  • Build and optimize data models, implementing best practices to handle large volumes of data efficiently in Snowflake.
  • Create and maintain complex SQL queries and transformations for data processing and analytics.
  • Conduct orchestration and scheduling through Apache Airflow.
  • Document data pipelines, architecture, and processes, maintaining clear and updated technical documentation.
  • Design, develop, and maintain ETL pipelines to ensure reliable data flow and high-quality data for analytics and reporting.
  • Build and optimize data models, implementing best practices to handle large volumes of data efficiently in Snowflake.
  • Create and maintain complex SQL queries and transformations for data processing and analytics.
  • Conduct orchestration and scheduling through Apache Airflow.
  • Document data pipelines, architecture, and processes, maintaining clear and updated technical documentation.
  • Architect, build, and maintain data science data and models infrastructure on AWS, focusing on scalability, performance, and cost-efficiency.
  • Collaborate with Data Scientists to deploy machine learning models on AWS SageMaker, optimizing model performance and ensuring secure deployments.
  • Automate deployment and monitoring of ML models using CI/CD pipelines and infrastructure-as-code (IaC) tools such as Terraform or AWS CloudFormation.
  • AWS specific tasks (EC2, S3, RDS, VPC, CloudFormation, AutoScaling, CodePipeline, CodeBuild, CodeDeploy, ECS/EKS, cost management, etc.)
  • Set up and manage monitoring solutions (e.g., CloudWatch) to ensure data pipelines and deployed models are operating effectively.


    • Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in Data Engineering with at least 3+ years working in AWS environments.
  • Strong knowledge of AWS services, specifically SageMaker, Lambda, Glue, and Redshift.
  • Hands-on experience deploying machine learning models in AWS SageMaker.
  • Proficiency in DevOps practices, including CI/CD pipelines, containerization (Docker, ECS, EKS), and infrastructure-as-code (IaC) tools like Terraform or CloudFormation.
  • Advanced SQL skills and experience in building and maintaining complex ETL workflows.
  • Proficiency in Python, with additional skills in Java or Scala 
  • Practical experience with Airflow for DAG management and data orchestration.
  • Proficient in version control (GIT) and containerized deployment with Docker and managed services such as AWS Fargate, ECS, or EKS.
  • Effective communication, Result oriented approach.
    • Who you are working for - About Collective[i]:


    Collective[i] is on a mission to help people and companies prosper. Backed over 20 patents and developed by a team of world renowned entrepreneurs, engineers, scientists, and business leaders, Collective[i] is an Economic Foundation Model (“EFM”) that studies how the world does business. Collective[i]’s advisors include a world renowned economist, the former Vice Chair of the Federal Reserve, founders of Comcast, Instagram, MySQL, and former executives from Tesla, NewsCorp, USANetworks, and others. 

    Harnessing insights from more than a decade of data collection, our EFM has been trained on trillions of dollars of data to unearth successful buying and selling patterns. With Collective[i], any person or company can plug in their own data and receive customized insights that help them maximize economic opportunity and adapt to changing market conditions.

    Founded and managed by the early teams behind LinkShare (purchased for $425m) and Overstock (NASDAQ:OSTK), Collective[i] is a private 100% remote company.

    Our core values help shape our culture: We are curious. We are direct. We deliver. We succeed together. We strive for the extraordinary. If you enjoy a challenge, thrive in an innovative environment and welcome the opportunity to work with amazing humans operating on the bleeding edge of technology, Collective[i] is the place for you.


    Recent press:


    Information about the founders:
    Tad Martin
    Stephen Messer
    Heidi Messer

    About The Company
    Similar Remote Jobs

    Kickstart Your Job Search
    Need advice to apply? Join our free Webinar « 3 Mistakes to Avoid When Looking For A Remote Startup Job (And What To Do Instead) »
    Register for free

    Unlock 33,663 additional remote jobs, advanced search & email notifications

    Get Access Now

    Too many emails? Declutter your inbox with Meco

    Your home for reading newsletters. Try for free - no card required.

    Try for Free
    Before You Apply
    ️
    remote Be aware of the location restriction for this remote position: Canada
    ‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
    🙈  Does this job need an edit?
    Back to Remote jobs  >   DevOps / Sysadmin
    Cloud DevOps Engineer @Collectivei
    DevOps / Sysadmin
    Salary -
    Remote Location
    remote in Canada Canada
    Job Type Full-time
    Posted 6d ago
    🙈  Does this job need an edit?
    Apply for this position Unlock 33,663 Remote Jobs
    ️
    remote Be aware of the location restriction for this remote position: Canada
    ‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
    Apply for this position Unlock 33,663 Remote Jobs
    ×
    • Unlock 33,663 remote jobs
    • Filter by location/skills/salary…
    • Create custom email alerts
    • Lifetime access
    Remotive - Email digest of tips on remote work and productivity | Product Hunt

    We’re not like the other sites. Come see why!

    50% off in December 2024

    Get relevant job opportunities in your inbox

    Remotive
    Find Remote Jobs
    Hiring Remotely
    Quick Access