SimpliSafe is looking to design and implement integrated systems for data flows from their products and services to their shared analytical platforms and downstream ML, Engineering, and Product applications.
Requirements
- Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
- Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
- Strong knowledge of Python for use in data transformation
- Hands-on experience with ETL/ELT, schema design, and datalake technologies
- Hands-on experience with data orchestration tools like Dagster, Airflow, or Prefect
- Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
- Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Responsibilities
- Collaborate with analysts, engineers, product managers, and stakeholders to design and implement solutions for Product and Engineering data workflows
- Identify areas for improvement and contribute to centralized data platform
- Manage data pipeline, orchestration, storage, and analytics infrastructure for Product and Engineering
- Monitor performance and reliability of data pipelines, implementing solutions for scalability and efficiency
- Optimize table structures to support query and usage patterns
- Partner with producers of data across SimpliSafe to develop an understanding of data creation and meaning
- Implement and maintain data security measures and ensure compliance with data governance policies
Other
- 4+ years of experience in software engineering, data engineering, or a related field, with at least 2 years focused on data operations or data infrastructure
- Love of data and a passion for building reliable data products
- Experience in home security technology and/or consumer IoT products
- Customer Obsessed
- Aim High
