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Full-Time

Data Engineer II

Confirmed live in the last 24 hours

System1

System1

201-500 employees

AI-driven acquisition marketing at scale

Data & Analytics

Compensation Overview

$115k - $134.6kAnnually

+ Bonus + Equity

Mid

Los Angeles, CA, USA

Category
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Agile
Redshift
Python
Airflow
MySQL
Data Science
BigQuery
SQL
Java
Postgres
AWS
Oracle
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • Bachelors or Masters degree in Computer Science/Engineering
  • Strong SQL proficiency
  • Programming expertise in Python, Scala, and/or Java
  • Experience in databases like Postgres, MySQL, Oracle or SQL Server
  • Familiarity with Cloud data-warehouses like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks
  • Good understanding of data modeling, database design, relational/non-relational concepts
  • Good understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing
  • Familiarity with software production engineering practices, version control, code peer reviews, automated testing, and CI/CD
  • Cloud ecosystem experience within AWS, GCP, or Azure
  • Experience with modern orchestration platforms like Airflow
  • Familiarity with docker, kubernetes containerization strategies and optimization
  • Working knowledge of dbt and jinja macros, dbt docs, dbt test
  • Experience collaborating with business intelligence, data analytics, data science stakeholders
Responsibilities
  • Gather requirements and create detailed proposals
  • Evaluate new technologies and features
  • Productize data ingestion and delivery
  • Consolidate and modernize the codebase
  • Improve monitoring and alerting coverage
  • Communicate effectively with stakeholders
  • Conduct SQL data investigations and optimizations
  • Support peers in a transparent and agile team environment
  • Maintain existing infrastructure
  • Contribute to peer code reviews

If you are looking to work at the forefront of digital marketing technologies, this company is an excellent choice. Their Responsive Acquisition Marketing Platform (RAMP) leverages advanced AI and machine learning to effectively match high-intent customers with advertisers across various channels and verticals. With a strong focus on privacy and innovation in the ad tech industry, they provide a dynamic and forward-thinking environment that supports the development of powerful consumer brands.

Company Stage

IPO

Total Funding

$920M

Headquarters

Los Angeles, California

Founded

2013

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-10%

2 year growth

-5%

Benefits

Great compensation

401(k) company match

Excellence benefits

Charitable gift matching

Education subsidy

Referral bonus

Weekly happy hour

Catered lunches & free snacks

Weekly workouts