Staff Data Engineer, Ads

Posted 2 months agoViewed

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💎 Seniority level: Staff, 7+ years

📍 Location: US

💸 Salary: 206700 - 289400 USD per year

🔍 Industry: Social media / Online community

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: LeadershipPythonSQLData AnalysisETLTableauStrategyAirflowData engineeringData scienceSparkCommunication SkillsCollaborationMentoringCoachingData visualizationData modeling

Requirements:

MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
7+ years of experience with large-scale ETL systems, building clean, maintainable, object-oriented code (Python preferred).
Strong programming proficiency in Python, SQL, Spark, Scala.
Experience with data modeling, ETL concepts, and manipulating large structured and unstructured data.
Experience with data workflows (e.g., Airflow) and data visualization tools (e.g., Looker, Tableau).
Deep understanding of technical and functional designs for relational and MPP databases.
Proven track record of collaboration and excellent communication skills.
Experience in mentoring junior data scientists and analytics engineers.

Responsibilities:

Act as the analytics engineering lead within Ads DS team and contribute to data science data quality and automation initiatives.
Ensure high-quality data through ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Create user-friendly tools for internal use across Data Science and cross-functional teams.
Lead efforts to build a data-driven culture by enabling data self-service.
Provide mentorship and coaching to data analysts and act as a thought partner for data teams.

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🔥 Staff Data Engineer, Ads

Posted 24 days ago

📍 US

🧭 Full-Time

💸 206700.0 - 289400.0 USD per year

🔍 Social Media / Technology

🔧 Requirements

MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
7+ years of experience with large-scale ETL systems and building clean, maintainable code (Python preferred).
Strong programming proficiency in Python, SQL, Spark, Scala.
Experience with data modeling, ETL concepts, and patterns for data governance.
Experience with data workflows, data modeling, and engineering.
Experience in data visualization and dashboard design using tools like Looker, Tableau, and D3.
Deep understanding of relational and MPP database designs.
Proven track record of cross-functional collaboration and excellent communication skills.

💡 Responsibilities

Act as the analytics engineering lead within Ads DS team contributing to data science data quality and automation initiatives.
Work on ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
Develop and maintain robust data pipelines for data ingestion, processing, and transformation.
Create user-friendly tools for internal team use, streamlining analysis and reporting processes.
Lead efforts to build a data-driven culture by enabling data self-service.
Provide technical guidance and mentorship to data analysts.

PythonSQLETLAirflowSparkScalaData visualizationData modeling

Posted 24 days ago

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