Senior DataOps Engineer

🔥 9 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oportun

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.

📋 Description

• Administer and support Databricks workspaces, cluster policies, compute configurations, jobs, workflows, libraries, service principals, permissions, and platform integrations • Support Unity Catalog access governance, catalog and schema permissions, and secure data sharing • Monitor and troubleshoot Delta Live Tables, Spark jobs, Delta Lake workloads, and data pipelines • Maintain secure and reliable integrations between Databricks and AWS services, including S3, IAM, networking, VPC connectivity, and external data sources • Support AWS infrastructure used by the data platform, including EC2, VPC, IAM, security groups, networking, patching, and operational access • Support MariaDB/MySQL and MongoDB environments, including availability, monitoring, connectivity, backup coordination, performance troubleshooting, and recovery • Build and maintain monitoring, dashboards, logs, metrics, and alerts across platforms, pipelines, databases, infrastructure, and integrations • Participate in on-call support and lead production incident investigation, mitigation, recovery, communication, and root-cause analysis • Build and maintain infrastructure and automation using Terraform, Terraform Enterprise, Git, GitHub Actions, CI/CD pipelines, and scripting • Automate provisioning, access configuration, monitoring deployment, recovery, and platform changes • Manage secure access controls, secrets, certificates, TLS configuration, service accounts, and IAM roles • Improve operational readiness through runbooks, recovery procedures, architecture diagrams, standards, escalation paths, and technical documentation • Partner with engineering and infrastructure teams on capacity planning, platform performance, cost visibility, and resource optimization • Explore practical uses of AI and automation to improve troubleshooting, documentation, incident response, and operational efficiency

🎯 Requirements

• 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 • Strong understanding of monitoring, observability, alerting, and incident-management practices • Experience with CI/CD, Git, GitHub Actions, and automation using Bash, Python, PowerShell, or similar scripting languages • Experience troubleshooting platform performance, connectivity, permissions, certificates, TLS, and integration issues • Experience with production support, root-cause analysis, post-incident reviews, and on-call operations • Strong understanding of security and access concepts such as IAM, RBAC, secrets management, certificates, and secure connectivity • Strong communication and collaboration skills with the ability to work across Data Engineering, Analytics, Security, Infrastructure, Database, and application teams • Experience with Unity Catalog, Databricks SQL, Databricks CLI, REST APIs, and Databricks asset or deployment bundles • Experience with Kubernetes administration and production troubleshooting • Experience with monitoring tools such as Prometheus, Grafana, Datadog, or similar platforms • Experience with Rootly or similar incident-management platforms • Experience with MongoDB Atlas, Ops Manager, or comparable MongoDB tooling • Experience with MariaDB/MySQL replication, schema migrations, indexing, backup validation, and restore procedures • Experience with capacity planning, cloud cost optimization, and workload performance tuning • Experience implementing or improving data governance, compliance controls, or audit processes • Experience using AI-assisted tools to improve operations, troubleshooting, documentation, or automation

🏖️ Benefits

• Medical Insurance • Savings Fund • Life Insurance • Internet and Electricity Allowance • Paid time off such as vacation and parental leave • Competitive compensation and benefits package designed to support physical, financial, and professional well-being