{"id":3120014,"url":"https://alion.io/job/oportun-sr-dataops-engineer-r14334","title":"Sr DataOps Engineer (R14334)","company":{"id":12143,"name":"Oportun","domain":"oportun.com","url":"https://alion.io/company/oportun","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":101000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3299},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"MariaDB","optional":false},{"name":"MySQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prometheus","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-22T22:49:24Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T02:28:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who We Are\nOportun (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.\nThe Opportunity\nWe’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.\nYou’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.\nAt 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.\nWhat You'll Do\nYour day-to-day\nYou’ll administer and support Databricks workspaces, cluster policies, compute configurations, jobs, workflows, libraries, service principals, permissions, and platform integrations.\nYou’ll support Unity Catalog, including access governance, catalog and schema permissions, and secure data sharing.\nYou’ll monitor and troubleshoot Delta Live Tables, Spark jobs, Delta Lake workloads, and data pipelines, including failures, performance issues, recovery, and data-quality concerns.\nYou’ll maintain secure and reliable integrations between Databricks and AWS services, including S3, IAM, networking, VPC connectivity, and external data sources.\nYou’ll support AWS infrastructure used by the data platform, including EC2, VPC, IAM, security groups, networking, patching, and operational access.\nYou’ll support MariaDB/MySQL and MongoDB environments, including availability, monitoring, connectivity, backup coordination, performance troubleshooting, and recovery.\nYou’ll build and maintain monitoring, dashboards, logs, metrics, and alerts across Databricks, pipelines, databases, infrastructure, and integrations.\nYou’ll participate in on-call support and lead investigation, mitigation, recovery, communication, and root-cause analysis for production incidents.\nYou’ll build and maintain infrastructure and automation using Terraform, Terraform Enterprise, Git, GitHub Actions, CI/CD pipelines, and scripting.\nYou’ll automate repeatable operational activities such as provisioning, access configuration, monitoring deployment, recovery, and platform changes.\nYou’ll manage secure access controls, secrets, certificates, TLS configuration, service accounts, and IAM roles across platform services.\nYou’ll improve operational readiness through runbooks, recovery procedures, architecture diagrams, standards, escalation paths, and technical documentation.\nYou’ll partner with engineering and infrastructure teams to improve capacity planning, platform performance, cost visibility, and resource optimization.\nYou’ll look for practical ways to use AI and automation to improve troubleshooting, documentation, incident response, and operational efficiency.\nWho You Are\nThe right fit looks like this\nYou’re a hands-on platform engineer who enjoys solving complex production problems and improving the systems behind critical data workloads. You think beyond the immediate issue, look for root causes, and build solutions that make the platform more reliable and easier to operate.\nYou’re comfortable working across cloud infrastructure, data platforms, databases, automation, and security. You communicate clearly during incidents, take ownership through resolution, and consistently look for ways to reduce repetitive work and improve operational maturity.\nWhat You Bring\nSkills & experience\nRequired\nStrong experience supporting production data platforms, cloud infrastructure, or DataOps environments.\nHands-on experience administering and supporting Databricks, including workspaces, jobs, workflows, compute, cluster policies, and access controls.\nExperience supporting Spark, Delta Lake, and Delta Live Tables workloads.\nStrong experience with AWS services such as EC2, VPC, IAM, S3, security groups, CloudWatch, and networking.\nExperience with infrastructure as code using Terraform and Terraform Enterprise or similar tools.\nExperience supporting MariaDB/MySQL and MongoDB in production environments.\nStrong understanding of monitoring, observability, alerting, and incident-management practices.\nExperience with CI/CD, Git, GitHub Actions, and automation using Bash, Python, PowerShell, or similar scripting languages.\nExperience troubleshooting platform performance, connectivity, permissions, certificates, TLS, and integration issues.\nExperience with production support, root-cause analysis, post-incident reviews, and on-call operations.\nStrong understanding of security and access concepts such as IAM, RBAC, secrets management, certificates, and secure connectivity.\nStrong communication and collaboration skills with the ability to work across Data Engineering, Analytics, Security, Infrastructure, Database, and application teams.\nNice to Have\nExperience with Unity Catalog, Databricks SQL, Databricks CLI, REST APIs, and Databricks asset or deployment bundles.\nExperience with Kubernetes administration and production troubleshooting.\nExperience with monitoring tools such as Prometheus, Grafana, Datadog, or similar platforms.\nExperience with Rootly or similar incident-management platforms.\nExperience with MongoDB Atlas, Ops Manager, or comparable MongoDB tooling.\nExperience with MariaDB/MySQL replication, schema migrations, indexing, backup validation, and restore procedures.\nExperience with capacity planning, cloud cost optimization, and workload performance tuning.\nExperience implementing or improving data governance, compliance controls, or audit processes.\nExperience using AI-assisted tools to improve operations, troubleshooting, documentation, or automation.\nOur AI Mindset\nWe build with AI. We lead with judgment.\nAI isn't a feature here. It's how we work.\nWe're excited about what AI makes possible, and we're looking for people who share that curiosity. You don't need to be an expert. You need to be open to experimenting, willing to learn, and able to apply new tools in ways that actually move the needle.\nIn this role, you'll be encouraged to explore AI tools, find practical use cases for your function, and bring ideas for working smarter. We believe the best outcomes come when human judgment and AI capability work together.\nWhy Oportun\nWhat's in it for you \nOportun offers a competitive compensation and benefits package designed to support your physical, financial, and professional well-being. Benefits vary by country of employment.\nSome of the benefits available to eligible employees include:\nMexico Benefits:\nMedical Insurance \nSavings Fund\nLife Insurance\nInternet and Electricity Allowance\nPaid time off such as vacation and parental leave\nEligibility and plan details vary by location and employment status. To learn more about Oportun and our benefits, visit oportun.com/careers #LI-REMOTE #LI-GK1\nWe are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.\n\nCalifornia applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/.\nWe will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).","description_format":"text","description_chars":8388,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Life insurance","Parental leave"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Loans & Pawnshops","Microfinance"],"lifecycle":[{"event":"open","at":"2026-10-23T00:02:01Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":26,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/oportun-sr-dataops-engineer-r14334","json_url":"https://alion.io/job/oportun-sr-dataops-engineer-r14334.json","meta":{"generated_at":"2026-10-24T06:11:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8928,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":12143},"rest":"https://alion.io/mcp/rest/get_company?id=12143"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Foportun-sr-dataops-engineer-r14334"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Foportun-sr-dataops-engineer-r14334"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Foportun-sr-dataops-engineer-r14334"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/oportun-sr-dataops-engineer-r14334\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Foportun-sr-dataops-engineer-r14334"}]}