Overview
On Site
160k} - 160k}
Full Time
Skills
Startups
Value engineering
Social media
ADS
FOCUS
Partnership
Honesty
Leadership
Artificial intelligence
SaaS
Writing
Data architecture
Apache Kafka
Snow flake schema
Data quality
Collaboration
Continuous improvement
LOS
Brand
Advertising
Computer science
Data Science
Extract
transform
load
Business systems
Data engineering
Python
SQL
Streaming
Data
Machine Learning Operations (ML Ops)
SAP BASIS
Job Details
Over the past decade, we've grown into a massive producer of social media ads through a focus on data-driven results and a unique pay for performance model. We have expanded significantly with a large team, substantial ad spends, and key partnerships with Meta, TikTok and other platforms. Our clients value our honest approach, leading to high retention and growth through word-of-mouth. Moving forward, we plan to use AI advancements to transform our business into a self-service SaaS platform for agencies and in-house teams.
We are looking for Senior Data Engineer with 5 years of experience who can build and take ownership of pipelines that move data from business systems, ad platforms, and AdTech software. You will be writing code primarily in SQL & Python and helping implement streaming data architecture using tools like Kafka, Airbyte, and Snowflake. You will help choose tech tools wisely, ensure data quality, collaborate to build effective data solutions, support self-service, troubleshoot data issues, and staying updated on data engineering trends for continuous improvement.
Located in Downtown Los Angeles, we have a brand-new office that boasts several rest & relaxation areas. In addition to that you'll have a chance to work on a tech-forward, fast moving, and dedicated team with some of the best minds in the advertising industry.
Required Skills & Experience
We are looking for Senior Data Engineer with 5 years of experience who can build and take ownership of pipelines that move data from business systems, ad platforms, and AdTech software. You will be writing code primarily in SQL & Python and helping implement streaming data architecture using tools like Kafka, Airbyte, and Snowflake. You will help choose tech tools wisely, ensure data quality, collaborate to build effective data solutions, support self-service, troubleshoot data issues, and staying updated on data engineering trends for continuous improvement.
Located in Downtown Los Angeles, we have a brand-new office that boasts several rest & relaxation areas. In addition to that you'll have a chance to work on a tech-forward, fast moving, and dedicated team with some of the best minds in the advertising industry.
Required Skills & Experience
- Bachelor's degree with a strong preference for Computer Science, Data Science, Engineering, etc.
- Exp. developing ETL pipelines for internal business systems
- 4 - 7 years of experience in engineering / data engineering
- Exp. Python & SQL
- Exp. building batch and streaming data pipelines
- Exp. with Ad Platform APIs
- Working knowledge of LLM / ML-ops tooling
- Bonus
- Generous Paid-Time Off
- 401k
- Coverage for Medical, Dental, and Vision
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.