Data Engineer
Share
Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 130000 - 190000
Posted on:
20 days ago
Vacancies:
1 Vacancy
Job Summary
Who We Are
EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact optimize creative performance and know the fair value of every impression across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI EDO equips industry leaders with syndicated investment-grade data that aligns media to business results with detailed competitive category and historical insights. Leading brands agencies networks streamers and studios trust EDOs TV intelligence to know what works.
EDO is headquartered in New York City and Los Angeles with an office space in San Francisco.
We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. We have a hybrid work policy of three days in the office and two remote work days.
To learn more about the work we do at EDO please visit EDO Press.
The Role
As a Data Engineer at EDO you will join a team of talented Data Engineers working closely with Data Scientists to build out our next generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data advertising outcome data identity resolution data and various other types of data. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS Airflow DBT and Snowflake.
What We Are Looking For
- Production experience building complex data pipelines
- A self-driven individualwho eagerly takes ownershipof projects in a startup environment
- Good working knowledge of data warehousing platforms (such as Snowflake Redshift etc) cloud computing (such as AWS) and ETL/data pipeline technologies (such as Airflow DBT)
- A minimum of 4 years of software engineering experience including at least 2 years of data engineering experience
- Proficiency with SQL and a scripting language such as Python or Ruby
- A strong understanding of software engineering practices principles and fundamentals
- Able to balance engineering considerations with business considerations
- Previous industry experience working with TV or other advertising data is a plus
Compensation and Benefits
EDO offers a competitive compensation package. Components of compensation include:
- Mid-stage equity and competitive salary
- Flexible Time Off
- Medical dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
- 401(k) plan FSA HSA
- Commuter Benefits
- When in an office employee meals snacks and more
In compliance with New York and California Pay Transparency Law the salary range for this position is $130000 to $190000. We note the salary information as a general guideline only as actual compensation may vary from posting. We will consider various factors to determine the offer for this role including the scope and responsibilities of the position relevant work experience key skills training and business considerations.
EDO is an Equal Opportunity Employer. We do not discriminate based on race color ethnicity ancestry national origin religion sex gender gender identity gender expression sexual orientation age disability veteran status genetic information marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
EDO provides advertising leaders with predictive and historical behavioral engagement data — to know and predict the effectiveness of Convergent TV campaigns.
