Senior Data Engineer - TV Ad Tech Data Pipeline (Hybrid)
EDO
New York (NY)
Hybrid
USD 165,000 - 190,000
Full time
14 days+
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Benefits offered by this job
Flexible Time Off
Full medical, dental, and vision coverage
401(k) plan
Employee meals, snacks, and more
Job summary
A leading TV outcomes company in New York is seeking a Senior Data Engineer to enhance their ad data pipeline. The ideal candidate will have over 5 years of software engineering experience with at least 2 years in data engineering. Proficiency in SQL and familiarity with data warehousing tools like Snowflake and AWS are essential. This position offers a competitive salary from $165,000 to $190,000 and supports a hybrid work model, allowing for both in-office and remote work days.
Qualifications
Minimum of 5 years of software engineering experience, including at least 2 years of data engineering experience.
Good working knowledge of data warehousing platforms.
Proficiency with SQL and a scripting language such as Python or Ruby.
Responsibilities
Build out the next generation Ad EnGage data pipeline.
Analyze dozens of advertising data sources to optimize effectiveness.
Work with large datasets using modern technologies.
Skills
Production experience building complex data pipelines
Self-driven and ownership mentality
Data warehousing knowledge
Cloud computing experience
ETL/data pipeline technologies
5+ years software engineering experience
SQL proficiency
Scripting language knowledge (Python or Ruby)
Software engineering practices
Industry experience in TV or advertising data
Tools
AWS
Airflow
DBT
Snowflake
Job description
A leading TV outcomes company in New York is seeking a Senior Data Engineer to enhance their ad data pipeline. The ideal candidate will have over 5 years of software engineering experience with at least 2 years in data engineering. Proficiency in SQL and familiarity with data warehousing tools like Snowflake and AWS are essential. This position offers a competitive salary from $165,000 to $190,000 and supports a hybrid work model, allowing for both in-office and remote work days.