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SeniorFull-timePythonAWSKubernetesData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer to join our team at M1. This role focuses on building scalable, cloud-native data pipelines and architectural blueprints.
Key Responsibilities
- →Drive Architectural Strategy: Help lead the design and implementation of scalable, cloud-native data pipelines and architectural blueprints using Python and Kubernetes.
- →Exercise Extreme Ownership: Take full accountability for the data lifecycle, from initial design and implementation to long-term maintenance and optimization.
- →Build Self-Service Platforms: Create and maintain the infrastructure that enables stakeholders across M1 to solve real-world problems independently.
- →Mentor and Lead: Grow alongside a committed team of engineers by leading design sessions, performing rigorous code reviews, and setting engineering standards.
- →Collaborate Across Functions: Partner with brokerage, banking, and product teams to translate complex business needs into automated, high-integrity data processes.
- →Ensure Data Excellence: Identify and integrate new data sources into our lake and warehouse, ensuring high levels of data quality, observability, and security.
- →Continuous Improvement: Proactively identify technical debt and execute on opportunities to improve the performance and reliability of existing systems.
Requirements
- ✓Deep expertise in SQL, Python, and data warehousing
- ✓Experience with cloud-native architecture and AWS
- ✓Familiarity with Kubernetes, S3, Redshift, dbt, Airflow, and Superset
- ✓High degree of systems-level curiosity and ability to understand complex systems
- ✓Strong problem-solving skills and ability to work independently and as part of a team
