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Early Warning
Staff Engineer - Data Engineering
Early Warning
San Francisco•Hybrid•5-8 Yrs•1 day ago
Job description
Hybrid
Overview
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Qualifications
- Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks
- Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc).
- Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc).
- Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices.
- Attention to detail
- Background and drug screen.
- Big Data Platforms (Cloudera, S3)
- Database platforms (Oracle, SQL Server) with experience around performance aspects and replication
- Computer language experience (Python, PySpark, and R)
- Knowledge of Aerospike, Scality S3, Elastic Search
- Monitoring and Alerting systems experience (AppDynamics) or other observability measures
- Knowledge of ACH/EFT
- Knowledge of real time payment networks (RTP, FedNow)
- FinTech experience
- Kubernetes experience
- Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
- 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
- Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
- 12 weeks of Paid Parental Leave
- Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
Nice to have
- MS or PHD
Education
- Typically 8 or more years of relevant related experience. Preferred with
- Seven or more years of experience in the development of complex data platform, distributed systems, SaaS, cloud solutions, micro services.
- Six or more years of experience in the development of Data Warehouse, Big Data – structured & unstructured platforms, real-time & batch processing, data standards.
- Four or more years of experience in development of Business Intelligent Solutions
- Two or more years of experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).
- Demonstrated experience in delivering business-critical systems to the market.
- Ability to influence and work in a collaborative team environment.