Description
System1 is one of the largest customer acquisition companies in the world whose growth depends heavily on a very talented data engineering team.
The Data Operations team at System1 is an engineering team that is focused on building processes, procedures and automation to ensure smooth running data infrastructure. We process billions of records per day, providing a core component of many organizational functions. The data that flows through these systems supports business intelligence, data science and machine learning, traffic quality and analytics.
You would be working in a fast-paced environment where enhancements to system scalability, reliability, usability, efficiency and performance are the goal. Come join us!
The Role You Will Have:
- Designing, development and productizing of new well-orchestrated data pipelines, with data ingestion from various sources, delivering data assets at specific destinations.
- Gather requirements, understand the big picture, create detailed proposals in technical specification documents.
- Provide mentorship to colleagues within the team, and across the organization. Proof of concept evaluations of new technologies, new features, patterns, frameworks, API.
- Influence the adoption of new or better practices, and outreach across the organization.
- Continuously improve monitoring and alerting coverage.
- Communicate effectively with upstream / downstream stake-holders, with clear understanding of data contracts or dependencies.
- Conduct SQL data investigations, data quality analysis and optimizations.
- Work in a transparent, and agile team environment, supporting the peers.
- Perform maintenance of existing infrastructure, improving efficiency and costs.
- Contribute in peer code reviews, and help the team produce high quality code.
- Consolidate and modernize the codebase.
What You Will Bring:
- Bachelor's or Master's degree in Computer Science/Engineering.
- Programming expertise in Python is required. JVM lang like Scala, Kotlin are preferred.
- Experience working within cloud ecosystems such as AWS, Azure or GCP
- Strong knowledge of data mechanics, flow, distribution and latency
- A good understanding of distributed systems and the associated engineering components and nuances of them(E.g. message queues)
- Experience with modern orchestration platforms such as Airflow
- Experience with various datastores, both relational and non-relational
- Solid Linux skills, Containerization strategies and Demonstrable Python ability
What We Have to Offer:
- Competitive salary + bonus + equity
- Generous PTO + 11 company holidays
- Open sick time
- Medical, Dental & Vision
- RRSP w/matching
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events
- #BI-Remote
- #BI-Hybrid
- #LI-Remote
- #LI-Hybrid
The base salary range in Canada for this full-time position is $115,000 - 144,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all U.S. and Canada locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Canada - System1’s headquarters is located in Marina del Rey, CA with additional offices in Bellevue, WA and Guelph, ON, Canada. Employees near office locations are returning to the office. Location-specific policies and available accommodations will be discussed during the interview process.
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