3 часа назад
Staff Software Engineer (Python/Spark)
206 086 - 302 200$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Python/Spark): Building scalable backend data pipelines, RESTful APIs, and data integration systems for large-scale digital advertising datasets with an accent on distributed processing, data reliability, and cloud infrastructure. Focus on optimizing high-throughput workflows, integrating machine learning models into production, and designing storage, observability, and recovery mechanisms for globally scaled systems.
Location: Bellevue, Washington, United States; telecommuting is permitted within normal commuting distance of the Bellevue office.
Salary: $206,086–$302,200 per year
Company
Global technology company operating an independent digital advertising platform that helps brands and agencies reach audiences across streaming TV, podcasts, mobile apps, news, and the open internet.
What you will do
- Design, develop, and maintain scalable backend data pipelines for large-scale content catalogs and metadata using distributed processing frameworks such as Apache Spark.
- Build and optimize high-throughput workflows for ingesting, transforming, and aggregating large datasets.
- Design secure, scalable RESTful APIs and data integration solutions connecting heterogeneous sources and destinations.
- Collaborate with data scientists and machine learning engineers to integrate models, feature engineering, and model-serving pipelines into production.
- Implement monitoring, alerting, and observability for reliable, high-availability data pipelines.
- Optimize data storage, modeling, indexing, retrieval, query performance, data quality, error handling, and recovery mechanisms.
Requirements
- Bachelor’s degree in Information Technology, Computer Engineering, or a related field.
- Five years of experience in the job offered or a related role.
- Three years of experience with software development in Python, Java, or Scala; cloud platforms such as AWS, GCP, or Azure; and large-scale distributed systems in production.
- Two years of experience designing data pipelines with distributed processing frameworks including Apache Spark.
- Two years of experience designing RESTful APIs and backend services, working with relational and NoSQL databases, and optimizing data models and queries for large-scale datasets.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage with premiums paid for employees and dependents.
- 401(k) retirement plan with company match, disability coverage, and life insurance.
- Paid vacation, sick time, holidays, parental leave, and well-being benefits.
- Tuition reimbursement and employee stock purchase plan.
- Potential eligibility for stock-based compensation and other role-dependent incentives.
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