Get quick, affordable personal loans between $300 and $10,000. Or, put your savings on auto. Your goals are our goals. Backed by Greylock, CRV and IVP.
About the role
We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong experience supporting production data platforms, cloud infrastructure, or DataOps environments
- Hands-on experience administering and supporting Databricks, including workspaces, jobs, workflows, compute, cluster policies, and access controls
- Experience supporting Spark, Delta Lake, and Delta Live Tables workloads
- Strong experience with AWS services such as EC2, VPC, IAM, S3, security groups, CloudWatch, and networking
- Experience with infrastructure as code using Terraform and Terraform Enterprise or similar tools
- Experience supporting MariaDB/MySQL and MongoDB in production environments
More about this role
Oportun (Nasdaq: OPRT) is a mission-driven financial services company that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $22.7 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually.
We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support.
You’ll be responsible for keeping critical data-platform services reliable, secure, performant, and cost-effective while partnering closely with Data Engineering, Analytics, Security, Cloud Infrastructure, Database, and application teams. Success in this role means improving platform reliability, reducing operational friction, strengthening automation, and helping teams resolve issues quickly and...
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