Software Engineer 5

7 days ago


Mountain View, United States Intelliswift Full time

Pay rate range - $70/hr. to $75/hr. on W2
Dallas TX or Mountain View CA - 100% Onsite

Top 3 Skill Sets:
Scala, Python, Snowflake

Beeline Summary:
The main function of a software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that make computers work.
A typical software engineer researches, designs, develops, and tests operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications.

Responsibilities
• Develop and implement advanced data pipelines to analyze and attribute the impact of various marketing channels on user behavior.
• Collaborate with product managers, and other engineers to refine and improve attribution rules.
• Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.
• Conduct A/B testing and performance analysis to validate and iterate on data pipelines that define attribution models.
• Stay updated on industry trends and emerging technologies related to attribution modeling and ad tech.

Skills and Qualifications
• Bachelor's or master's in computer science, data engineering or a related field.
• Requires at least 8 years of related experience and a bachelor's degree; or 6 years and a Master's degree.
• Strong programming skills in Python and Scala.
• Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)
• Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).
• Hands-on experience with orchestration tools like Airflow or similar
• Solid understanding of statistical concepts and experience with relevant tools.
• Excellent problem-solving and communication skills.

Preferred Qualifications
• Experience in attribution modeling within the ad tech industry.
• Familiarity with real-time data processing and streaming technologies.
• Knowledge of end-to-end digital advertising ecosystems and industry standards.
• Knowledge of Snowflake and related technologies



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