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LeadFull-timePythonJavaC#AWSGCPKubernetesDockerTerraformPostgreSQLAgile
Salary Range
$196,000 - $220,000 /year
About the Role
We are looking for an Enterprise Python Expert to join our Data Engineering team. This role focuses on designing and building pipelines and services within our data ecosystem, with a primary emphasis on high-quality software engineering.
Key Responsibilities
- →Architect Services: Design and stand up backend services and APIs that power our data platform.
- →Build for Scale: Transition from simple scripts to production-grade software with logging, alerting, and automated testing.
- →Modernize Tooling: Evaluate and implement new frameworks that improve system reliability and developer velocity.
- →Collaborate: Partner with analysts, software engineers, and infrastructure teams to ensure our data services are fast, secure, and easy to consume.
- →Lead by Example: Set the standard for Python excellence, performing deep code reviews and mentoring the team on SDLC best practices.
Requirements
- ✓BS in EE/CS with 12+ years of experience or MS in EE/CS with 8+ years of experience.
- ✓Deep expertise in object-oriented Python within an enterprise environment.
- ✓Experience in Java, C#, or Go is a major plus.
- ✓Software-First Mindset: Treat data infrastructure as a software product, not a series of one-off scripts or data pipelines.
- ✓Production DevOps: Proficiency with Docker, Kubernetes, CI/CD, and Infrastructure as Code (Terraform) within modern cloud providers.
- ✓Data Fluency: Strong SQL (e.g., BigQuery, PostgreSQL) and an understanding of how to build systems around data warehouses.
- ✓Modern Workflow: Proficient with LLM-assisted development (e.g., Cursor) to accelerate delivery while ensuring you can understand, explain, and defend every line.
- ✓Ownership: A track record of taking complex engineering problems from an “idea” or “concept” to "stable service."
