Description
We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability.
Within Data Infra, you may be matched to critical business areas including:
- Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data.
- Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting.
- Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data.
- Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark.
You'll work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.
To be successful in this role, you'll need:
- 10+ years of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems.
- 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead.
- Deep experience with at least one of:
- Strong proficiency in programming languages like Python, Go, Java, or similar.
- Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS).
- Can navigate complex technical tradeoffs between performance, cost, security, and maintainability.
- Have excellent collaboration skills - you work well with both technical and non-technical stakeholders.
Strong candidates may also have:
- Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure.
- Experience with Kubernetes, containerization, and cloud-native architectures.
- Track record of improving data reliability, availability, or cost efficiency at scale.
- Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks.
- Experience working in fintech, financial services, or highly regulated environments.
- Security engineering background with focus on data protection and access controls.
Technologies We Use:
- Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran.
- Storage: GCS, S3.
- Infrastructure: Terraform, Kubernetes, GCP, AWS.
- Languages: Python, Go, SQL.
The annual compensation range for this role is $405,000-$485,000 USD.