Customer Job

Software Engineer 4

Job ID: 25-10130

Pay rate range - $65/hr. to $70/hr. on W2 Work Schedule: Hybrid• 2 days remote, 3 days on site

Job Description:

Position:

Our team is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients.

We seek a talented Staff Data Engineer to play a pivotal role in enhancing our platform's performance advertising capabilities.

As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.

Responsibilities

• Develop and implement advanced data solutions supporting billing, reporting, and any other systems within the team's scope.

• Collaborate with data scientists, product managers, and other engineers to refine and improve data processes.

• Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of data.

• Work closely with stakeholders to understand and translate business requirements into technical solutions.

• Conduct A/B testing and performance analysis to validate and iterate on data processes.

• Stay updated on industry trends and emerging technologies related to data engineering and ad tech.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, 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; or a PhD with 3 years

• Proven experience in delivering data engineering solutions in ad tech industry.

• Strong programming skills in Python, Java, 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 with RESTful API.

• Experience with Golang

• 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

Education and Years of Experience:

1) Bachelor's or Master's in Computer Science, Data Science, or a related field( a Bachelor's degree, or 6 years and a Master's degree, or a PhD with 3 years)

2) Requires at least 8 years of related experience