System1
Los Angeles
201-500 employees
We use the insights from behavioural science to predict, guide and create effectiveness for marketers.
Prior Listings
- Optimization Analyst
- Senior Experimentation Analyst
- Optimization Analyst
- Lead Data Analyst
- Senior Performance Marketing Analyst, Paid Search
- Growth Marketing Analyst, Lead Gen
- Experimentation Analyst
- Software Engineer, Data
- Senior Product Manager, Data Science
- Software Engineer, Data Ops
- Principal Machine Learning Scientist - Search & Recommendations
- Senior Business Intelligence Analyst
- Senior Manager, Machine Learning Engineering
- Lead Data Scientist
- Principal Research Scientist
- Optimization Analyst
- Senior Data Analyst
- Senior Machine Learning Scientist - Search & Recommendations
- Product Marketing Analyst
- Director of Machine Learning Science - AI Automation & Optimization
Software Engineer, Data Ops
Software Engineer, Data Ops
This job is no longer open
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 Engineering team at System1 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 and developing data processing infrastructure
- Consult with engineering teams to productionize data pipelines
- Work to increase our monitoring and alerting coverage where neededIdentify scaling bottlenecks and successfully overcome them
- Contribute to technical specification documents for data architecture projects
- Contribute to ongoing maintenance of existing infrastructure and investigate issues and failures
- Participate in peer code reviews and produce high quality documentation
What You Will Bring:
- 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)
- Modern orchestration platforms such as Airflow
- Datastores, both relational and non-relational
- Solid Linux skills
- Containerization strategies
- Demonstrable Python ability
What We Have to Offer:
- 17 Days PTO + 11 Company Holidays
- Untracked sick time
- Health, Dental, Vision and 401k w/matching
- Paid professional development, technology, and gym/fitness membership subsidies
- Annual Hackathon & virtual company events, community support & volunteer opportunities, and many ERGs to participate in
- #LI-Remote
- #BI-Remote
- #LI-AW1
This job is no longer open