Senior Data Operations Engineer at Oportun

, , India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Database Design, MariaDB, MongoDB, Databricks, ETL, Performance Monitoring, Security, Compliance, Backup, Recovery, Scripting, Cloud, Git, Jenkins, Terraform, Data Integration

Industry

Financial Services

Description

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech 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 $19.7 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. RESPONSIBILITIES Database Design & Architecture Design, implement, and maintain optimal database schemas for relational (MariaDB) and NoSQL (MongoDB) databases. Participate in data modeling efforts to support analytics in Databricks. Performance Monitoring & Tuning Monitor and tune performance across all platforms to ensure optimal performance. Use profiling tools (e.g., query plans, system logs) to identify and resolve bottlenecks. Security & Compliance Implement access controls, encryption, and database hardening techniques. Manage user roles and privileges across MariaDB, MongoDB, and Databricks. Ensure compliance with data governance policies (e.g., GDPR, HIPAA). Backup & Recovery Implement and maintain backup/recovery solutions for all database platforms. Periodically test restore procedures for business continuity. Data Integration & ETL Support Support and optimize ETL pipelines between MongoDB, MariaDB, and Databricks. Work with data engineers to integrate data sources for analytics. Monitoring & Incident Response Set up and monitor database alerts. Troubleshoot incidents, resolve outages, and perform root cause analysis. MariaDB-Specific Responsibilities Administer MariaDB instances (standalone, replication, Galera Cluster). Optimize SQL queries and indexing strategies. Maintain stored procedures, functions, and triggers. Manage schema migrations and upgrades with minimal downtime. Ensure ACID compliance and transaction management. MongoDB-Specific Responsibilities Manage replica sets and sharded clusters. Perform capacity planning for large document collections. Tune document models and access patterns for performance. Set up and monitor MongoDB Ops Manager / Atlas (if used). Automate backup and archival strategies for NoSQL data. Databricks-Specific Responsibilities Manage Databricks workspace permissions and clusters. Collaborate with data engineers to optimize Spark jobs and Delta Lake usage. Ensure proper data ingestion, storage, and transformation in Databricks. Support CI/CD deployment of notebooks and jobs. Integrate Databricks with external data sources (MariaDB, MongoDB, S3, ADLS) Collaboration & Documentation Collaborate with developers, data scientists, and DevOps engineers. Maintain up-to-date documentation on data architecture, procedures, and standards. Provide training or onboarding support for other teams on database tools. REQUIREMENTS MariaDB Tools: mysqldump, mysqladmin, Percona Toolkit MongoDB Tools: mongodump, mongotop, mongoexport, Atlas UI Databricks Tools: Jobs UI, Databricks CLI, REST API, SQL Analytics Scripting: Bash, Python, PowerShell Monitoring: Prometheus, Grafana, CloudWatch, DataDog Version Control & CI/CD: Git, Jenkins, Terraform (for infrastructure-as-code) Preferred CLoud provider: AWS We 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. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We 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).

Responsibilities

The Senior Data Operations Engineer will design, implement, and maintain optimal database schemas for relational and NoSQL databases while ensuring performance monitoring and tuning across all platforms. They will also manage security and compliance, backup and recovery solutions, and support data integration and ETL processes.