We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Sr DataOps Engineer (R14334)

remote1,800 USD · per yearRemote - MXScore 83.5/1001d ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
awsci/cdcloudcloudwatchdatabricksdatadogdataopsdelta lakeec2gitgithubgrafana
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Who We Are 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. The Opportunity 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 sustainably. At Oportun, we move fast and we hold each other to a high bar. If you care about doing your best work while actually moving the needle for real people, you'll fit right in. What You'll Do Your day-to-day You’ll administer and support Databricks workspaces, cluster poli
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs