Job Description

is one of the largest customer acquisition companies in the world whose growth depends heavily on a very talented data engineering team. The Data Engineering team at System1 is focused on building frameworks, processes, and automation to ensure smooth running data pipelines and infrastructure. We process billions of records per day, for the benefit of multiple business functions like business intelligence, data science & machine learning, traffic quality and analytics. You would be working in a fast-paced environment where system scalability, reliability, usability, efficiency are the goals. Come join us!

The Role You Will Have:

• Designing and developing data processing infrastructure.
• Developing new and improving existing data pipelines, extracting from external API sources or internal events.
• Developing self-serve data solutions, self-correcting robust ETL pipelines.
• Continuously improving monitoring and alerting coverage.
• As a Sr. Engineer, this role will provide mentorship to colleagues in/outside of the immediate team.
• Self-driving proof of concept for new technologies, new patterns and writing technical specifications for data architecture projects.
• Identifying complex scaling bottlenecks and how to prevent them, and communicating updates to stakeholders.
• Performing maintenance of existing infrastructure, investigating issues and failures.
• Conducting SQL data investigations, and optimizations.
• Participate in peer code reviews and produce high quality documentation.

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.
• 6+ years\' experience in Cloud ecosystems like AWS is required. GCP, Azure are preferred.
• SQL expertise, and preferably SQL query optimization experience.
• Database design skills, both relational and non-relational, SQL and NoSQL.
• Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred.
• High level of proficiency with modern orchestration platforms such as Airflow.
• Deep understanding of data engineering fundamentals, ETL experience and analytics skills required in order to solve complex challenges across the System1 environment.
• Knowledge of data engineering mechanics, flow, distribution, optimization.
• Data organization, distribution, latency, observability.
• Distributed big data processing and storage systems.
• Kubernetes, docker, containerization strategies, Linux/UNIX would be required.
• Experience with Kafka is preferred.

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

The base salary range in Canada for this full-time position is $127,000 - $159,000 + 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.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely. System1 allows fully-remote work in the following provinces: Ontario and British Columbia.

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Infospace