We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company’s data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives.
Requirements
- Designs and builds scalable data extracts, integrations, transformations, and data models.
- Ensures successful deployment and provisioning of data solutions across required environments.
- Designs and implements data architectures and applications that enable speed, quality, and operational efficiency.
- Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs.
- Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality.
- Reviews requirements, identifies gaps, and drives resolution with stakeholders.
- Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable.
- Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline.
- Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring.
- Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation).
- Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow).
- Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting.
- Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases.
- Establishes MLOps standards, coding practices, and automation patterns that scale across teams.
Benefits
- Medical, dental, vision, and basic life insurance programs
- 401(k) plan
- Time Off and Paid Sick Leave
- Paid holidays throughout the calendar year
- Restrict Stock Units and annual bonuses
