6 days ago
Base Salary
$144k - $194k/yr
Responsibilities
- Build data pipelines that transform raw advertising events into advertiser-facing metrics.
- Design and ship table-based Lakehouse platform capabilities for faster onboarding, simpler operations, and broader data access.
- Create automated data validation and monitoring systems to maintain accuracy at scale.
- Improve infrastructure efficiency and reduce operational costs across a large compute fleet.
- Partner with teams to onboard new advertising products onto the reporting platform.
- Build AI-powered tooling and autonomous operations agents that improve platform reliability and developer productivity.
Requirements
- At least 3 years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR, or Storm/Samza.
- At least 2 years designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl.
- At least 2 years of experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- At least 1 year of software development engineer or related occupational experience.
- At least 1 year of object-oriented design experience.
- Experience programming in at least one software programming language.
- Preferred: at least 3 years covering the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Preferred: bachelor’s degree in computer science or equivalent.
Benefits
- Annual base salary of $143,700.00–$194,400.00 USD for the Seattle, Washington position, with potential sign-on payments and restricted stock units.
- Health coverage including medical, dental, vision, prescription, Basic Life and AD&D insurance, supplemental life plan options, EAP, mental health support, and a medical advice line.
- Flexible Spending Accounts and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- Work location: Seattle, Washington, USA.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache HadoopApache HiveApache PigApache SparkApache StormAWSC#C++JavaPerlPythonTypeScript
Categories
BackendData Engineering
