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Data Engineer, Data Ops

Company

System1
Address , Seattle, 98108, Wa
Employment type FULL_TIME
Salary
Expires 2023-06-18
Posted at 1 year ago
Job 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 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:

  • Performing maintenance of existing infrastructure, investigating issues and failures.
  • Continuously improving monitoring and alerting coverage.
  • Contribute to technical specification documents for data architecture projects
  • Consult with engineering teams to productionize data pipelines.
  • Identifying scaling bottlenecks and how to prevent them.
  • Conducting SQL data investigations.
  • Designing and developing data processing infrastructure.
  • Developing new and improving existing data pipelines, extracting from external API sources or internal events.
  • Proof of concept for new technologies, new patterns, new APIs.Participate in peer code reviews and produce high quality documentation

What You Will Bring:

  • Programming proficiency, Python preferred.
  • Modern orchestration platforms such as Airflow.
  • Datastores, both relational and non-relational. Snowflake, Redshift, BigQuery preferred.
  • Knowledge of data engineering mechanics, flow, distribution, organization, optimization, latency, observability
  • SQL expertise, and preferably SQL query optimization experience.
  • Experience with Kafka is preferred, but not required
  • Cloud ecosystems such as AWS, Azure or GCP.
  • Strong data engineering fundamentals and skills.
  • Nuances of distributed data processing and storage systems.
  • Containerization strategies, Linux/UNIX.

What We Have to Offer:

  • Paid professional development
  • #BI-Hybrid
  • Leadership & growth opportunities
  • 100% covered Medical, Dental, Vision for employees
  • #LI-AW1
  • #LI-Remote
  • 401k with match
  • Generous PTO + 11 company holidays
  • Virtual company and team building events
  • Open sick time
  • Health & Dependent Care Flex Spending Account
  • Competitive salary + bonus + equity
The U.S. base salary range for this full-time position is $116,500-$186,600 + 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 US 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. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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 approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.