Staff Engineer - Data Engineering
Early Warning Services2 hours ago
Tokyo, JapanStaff+
Base Salary
$124k - $223k/yr
Responsibilities
- Build forward-looking data strategy for broad and complex requirements.
- Lead data architecture, design, prototyping, implementation, and production delivery for product and enterprise data initiatives.
- Build and evolve scalable data warehouses, big data platforms, real-time and batch processing systems, and reusable frameworks.
- Provide technical leadership, develop technical plans and backlogs, and guide functional teams through execution.
- Partner with product managers, designers, architects, platform engineers, and other engineering groups to build features and define product descriptions.
- Own features and systems over their lifecycle, improve surrounding system health, and assist Operations and Support teams with production issues.
- Develop tests to ensure application quality, performance, and scalability.
- Improve engineering and data standards, tooling, and processes while supporting risk management and data confidentiality.
Requirements
- Bachelor’s degree in computer science or a related technical field.
- Eight or more years of relevant experience.
- Seven or more years developing complex data platforms, distributed systems, SaaS, cloud solutions, and microservices.
- Six or more years developing data warehouses, big data platforms, real-time and batch processing, and data standards.
- Four or more years developing business intelligence solutions.
- Two or more years developing or operationalizing AI/ML models, including feature engineering, data pipelines, model operationalization, and model monitoring.
- Demonstrated experience delivering business-critical systems and designing scalable systems.
- Experience with data warehouses, star or snowflake schemas, SQL Server or equivalent, HDFS, Elasticsearch, ETL development, and IBM InfoSphere or equivalent.
- Experience using Python, Spark, PySpark, R, or DataRobot for data science solutions.
- Experience with event-driven architecture and messaging frameworks such as Pub/Sub, Kafka, and RabbitMQ.
- Working experience with Google Cloud Platform, AWS, or Azure infrastructure.
- Knowledge of software development lifecycle practices, secure coding, testing, DevOps practices, and software development methodologies.
- Preferred qualifications include an MS or PhD, TensorFlow, SageMaker, scikit-learn, PyCharm, Cloudera, S3, Oracle, Aerospike, Scality S3, Elasticsearch, AppDynamics, Kubernetes, FinTech, ACH/EFT, RTP, and FedNow experience.
- Candidates must complete a background and drug screen and be able to perform the physical requirements with or without reasonable accommodation.
Benefits
- Hybrid work model for positions in Scottsdale, San Francisco, Chicago, or New York.
- Medical, dental, and vision coverage, plus HSA contributions and flexible spending accounts.
- 401(k) plan with a 100% company safe harbor match on the first 6% of deferral immediately upon eligibility.
- Flexible time off for exempt employees, generous PTO for non-exempt employees, 11 paid company holidays, and a paid volunteer day.
- 12 weeks of paid parental leave.
- Maven family-planning support covering services including fertility, adoption, surrogacy, pregnancy, postpartum, and early pediatrics.
Tech Stack
Apache KafkaApache SparkAWSAzureElasticsearchGoogle Cloud PlatformKubernetesMicrosoft SQL ServerPythonRRabbitMQscikit-learnTensorFlow
Categories
Data Engineering