Remote Data Engineer
Job Description
Company Overview:
Canonical is a leading company in the Remote Data & Analytics industry, specializing in providing cutting-edge solutions for businesses worldwide. Our remote-first culture embraces diversity, flexibility, and collaboration, allowing employees to work from anywhere in the USA. We prioritize work-life balance and offer a supportive environment for professional growth and development.
Position Summary:
As a Remote Data Engineer at Canonical, you will play a crucial role in designing, implementing, and maintaining data pipelines and infrastructure to support our analytics initiatives. You will work closely with cross-functional teams to ensure data accuracy, reliability, and accessibility for informed decision-making processes.
Key Responsibilities:
- Develop and optimize data pipelines for efficient data processing and analysis.
- Collaborate with data scientists and analysts to understand data requirements and deliver scalable solutions.
- Implement data quality measures and monitoring processes to ensure data integrity.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated on industry trends and best practices in data engineering.
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience in data engineering, ETL processes, and database management.
- Proficiency in SQL, Python, or other programming languages for data manipulation.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities for remote collaboration.
- Self-motivated with the ability to work independently in a remote setting.
Technical Requirements:
- Dedicated home office space conducive to focused work.
- Reliable high-speed internet connection (minimum 25 Mbps).
- Availability to work in the Pacific or Eastern time zone.
- Proficiency in using remote team collaboration tools like Slack, Zoom, and Jira.
Desired Skills:
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of data visualization tools like Tableau or Power BI.
- Familiarity with CI/CD pipelines and version control systems.
- Strong understanding of data security and compliance standards.
Compensation & Benefits:
- Competitive annual salary range of $90,000 - $120,000 based on experience and skills.
- Home office stipend or equipment provided to support remote work.
- Flexible working hours with consideration for different time zones.
- Virtual onboarding process for seamless integration into the team.
- Access to remote team collaboration tools for effective communication and project management.
- Virtual team building activities to foster camaraderie and engagement.
- Occasional travel requirements for team meetups or conferences.
How to Apply:
To apply for the Remote Data Engineer position at Canonical, please submit your resume and a cover letter highlighting your relevant experience and remote work capabilities. We look forward to reviewing your application and potentially welcoming you to our distributed team of talented professionals.
Required Skills
- Machine Learning
- Predictive Modeling
- Data Mining
- A/B Testing
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