Senior Software Engineer

Overview

On Site
$60 - $65 hr
Contract - W2
Contract - Independent
Contract - 12+ mo(s)

Skills

DATA ENGINEER
BIG DATA ENGINEER
STAFF DATA ENGINEER
FLINK
APACHE IGNITE
KAFKA
STREAM PROCESSING
AIRFLOW
ORCHESTRATION TOOLS
KUBERNETES
CONTAINER ORCHESTRATION
AD TECH
ADVERTISING
MARKETING TECHNOLOGY
PERFORMANCE ADVERTISING
SPARK
HADOOP
MAPREDUCE
SNOWFLAKE
JAVA
PYTHON

Job Details

Payrate: $60.00 - $65.00/hr.

Summary:
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 othe 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 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 the 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

Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $65.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

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