Staff Software Engineer

23 hours ago

Bellevue, WA, USAStaff+

H1B sponsor

Base Salary

$137k - $252k/yr

Responsibilities

Design, build, and maintain data pipelines for large-scale content catalog processing.
Develop efficient data processing workflows and scalable data integration solutions connecting multiple sources and destinations.
Create robust APIs that securely expose data services across the platform.
Collaborate with data scientists to integrate models and algorithms into production environments.
Implement monitoring and observability for data pipelines to support reliability and performance.
Optimize data storage and retrieval mechanisms for project-specific use cases.
Contribute to architectural decisions around data infrastructure.
Translate business requirements into technical solutions with cross-functional teams.
Apply data quality checks, error handling, and recovery mechanisms.
Lead and complete technically ambiguous projects while mentoring peers.

At least 7 years of software development experience, including at least 5 years specializing in data engineering or pipeline development.
Extensive experience with data warehousing solutions such as Vertica, Snowflake, or Databricks.
Strong knowledge of data governance and data quality frameworks.
Hands-on experience with machine learning pipelines and MLOps, particularly in personalization, recommendations, ad tech, e-commerce, streaming, or TVOS.
Experience with content metadata processing, entertainment catalog systems, taxonomy structures, or content discovery workflows.
Prior work with recommendation systems or search technologies and AI-driven content surfacing.
Strong computer science and engineering fundamentals, distributed systems, and large-scale data processing experience.
Proficiency in one or more of Java, Scala, or Python.
Expertise with big data technologies such as Apache Spark and Kafka.
Understanding of data modeling and experience with relational and NoSQL database systems.
Hands-on experience with AWS, GCP, or Azure and containerization technologies such as Kubernetes.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
Ability to communicate across technical and non-technical stakeholders and solve ambiguous problems.

Comprehensive medical, dental, and vision healthcare with premiums paid in full for employees and dependents.
401(k) retirement benefits with company match, short- and long-term disability coverage, and basic life insurance.
Well-being benefits, certain tuition expense reimbursement, parental leave, and sick time of 1 hour per 30 hours worked.
Vacation time for full-time employees of up to 120 hours through the first year and 160 hours thereafter, plus approximately 13 paid holidays annually.
Eligibility to purchase company stock at a discount through the Employee Stock Purchase Plan.
Employees may be eligible for stock-based compensation grants and other variable compensation depending on role and performance.