Data Engineer
Data Ops
Posted on 10/20/2022
INACTIVE
System1

201-500 employees

Ad & marketing platform
Company Overview
System1's mission is to provide the most accurate and useful predictions in marketing. The company operates a Responsive Acquisition Marketing Platform to connect high intent customers with advertisers at scale.
Data & Analytics

Company Stage

N/A

Total Funding

$920M

Founded

2013

Headquarters

Los Angeles, California

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

-9%

2 year growth

-2%
Locations
Los Angeles, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Redshift
Python
Airflow
BigQuery
SQL
Apache Kafka
AWS
Linux/Unix
Data Analysis
Snowflake
Google Cloud Platform
CategoriesNew
Data & Analytics
Requirements
  • SQL expertise, and preferably SQL query optimization experience
  • Programming proficiency, Python preferred
  • Datastores, both relational and non-relational. Snowflake, Redshift, BigQuery preferred
  • Cloud ecosystems such as AWS, Azure or GCP
  • Modern orchestration platforms such as Airflow
  • Strong data engineering fundamentals and skills
  • Knowledge of data engineering mechanics, flow, distribution, organization, optimization, latency, observability
  • Nuances of distributed data processing and storage systems
  • Containerization strategies, Linux/UNIX
  • Experience with Kafka is preferred, but not required
Responsibilities
  • Designing and developing data processing infrastructure
  • Developing new and improving existing data pipelines, extracting from external API sources or internal events
  • Consult with engineering teams to productionize data pipelines
  • Continuously improving monitoring and alerting coverage
  • Identifying scaling bottlenecks and how to prevent them
  • Contribute to technical specification documents for data architecture projects
  • Performing maintenance of existing infrastructure, investigating issues and failures
  • Conducting SQL data investigations
  • Proof of concept for new technologies, new patterns, new APIs.Participate in peer code reviews and produce high quality documentation