POSITION OVERVIEW

"The ideal candidate will focus on the Data Engineering aspects of the role, but specifically within the context of Security-related data. We are looking for someone who can build the pipelines and infrastructure necessary to handle security logs, threat intelligence, and sensitive data sets"

The "Data Security Engineer" supports the design, implementation, and maintenance of scalable data systems and pipelines that enable Oportun’s data-driven decision-making. Operating under established data architecture standards and governance frameworks, this role helps ensure the reliability, quality, and accessibility of data across platforms supporting Oportun’s mission.

The engineer collaborates with data, cloud, and product teams to build and optimize data pipelines, implement data models, and support analytics and machine learning use cases.

This includes developing data processing solutions, maintaining data infrastructure, and automating workflows to improve efficiency and reduce operational risk.

As a developing professional, the 'Data Security Engineer' focuses on execution and delivery of scoped data initiatives with guidance from more experienced engineers, progressively building technical depth and system ownership.

RESPONSIBILITIES

• Design, implement, and maintain scalable data pipelines and data processing systems aligned with Oportun’s data architecture standards.
• Collaborate with data scientists, analysts, and engineering teams to integrate data solutions into applications, analytics platforms, and workflows.
• Develop and optimize ETL/ELT processes using modern data platforms such as Databricks.
• Write efficient and scalable code using Python and SQL for data transformation, validation, and ingestion.
• Ensure data quality, consistency, and reliability through validation, monitoring, and testing practices.
• Support data platform monitoring and troubleshooting by investigating pipeline failures and contributing to root cause analysis.
• Automate repetitive data workflows to improve efficiency and scalability across data operations.
• Contribute to the documentation of data pipelines, data models, and system architecture.
• Partner with governance and compliance teams to ensure alignment between data practices and organizational standards.
• Perform other engineering-related tasks and initiatives as assigned within the Data Engineering function.

REQUIREMENTS

• 2–4 years of experience in data engineering, software engineering, or related technical roles.
• Strong proficiency in SQL and Python programming for data processing and transformation.
• Hands-on experience with Databricks or similar distributed data processing platforms (e.g., Spark).
• Foundational understanding of data modeling, ETL/ELT concepts, and data warehousing principles.
• Experience working with cloud platforms (AWS, GCP, or Azure) and data storage solutions.
• Familiarity with version control and collaboration tools (e.g., GitHub, Jira, Confluence).
• Strong problem-solving and critical-thinking skills; ability to work with large datasets and optimize performance.

Preferred

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
• Experience with big data technologies (e.g., Apache Spark, Delta Lake).
• Exposure to workflow orchestration tools (e.g., Airflow, Databricks Workflows).
• Experience with infrastructure-as-code tools (e.g., Terraform).
• Understanding of data governance, data quality frameworks, and security best practices.
• Relevant certifications in cloud or data engineering (e.g., Databricks, AWS, GCP).

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POSITION OVERVIEW

Oportun is looking for a Senior Information Security Analyst, with a passion for conducting the technical analysis for events. This includes immediate containment, investigation and management of remediation actions, as well as enhancing defenses with the new knowledge acquired throughout the response process. This is a 24/7 position on rotational shift.

RESPONSIBILITIES

• Monitor and analyze traffic and events/alerts escalated by L2 and advise on remediation actions.
• Review and assess impact and remediation actions for incidents.
• Creation and continuous improvement of monitoring alerts
• Deep analysis of security incidents to identify the root cause
• Create new rules in SIEM to identify threats.
• Monitor and analyze traffic and events/alerts and advise on remediation actions.
• Review and assess impact and remediation actions for incidents.
• Investigate intrusion attempts and perform analysis of exploits by correlating various sources and determining which system or data set is affected.
• Follow standard operating procedures for detecting, classifying, and reporting incidents.
• Analyze a variety of network and host-based security appliance logs (EDR, Firewalls, NIDS, HIDS, Sys Logs, etc.) to determine the correct remediation actions and escalation paths for each incident.
• Independently follow procedures to identify, contain, analyze, document and eradicate malicious activity.
• Escalate information regarding intrusion events, security incidents, and other threat indicators and warning information to the client.

REQUIREMENTS

• Bachelor’s degree in computer science, information systems or related field from an accredited institution OR 5 years of relevant experience in SOC, Incident response or Cyber Forensics.

• Experience in decoding logs from different security devices like Firewall, proxy, EDR etc.,
• Experience in handling cyber incidents on a day to day basis.
• Experience in performing L1 analysis of tickets and determining if its a false positive or not.
• Experience in correlating incidents.
• Experience in understanding network architecture and connecting events logically.
• Experience working in or with different teams like network, engineering, application etc.,

• Knowledge, Skills, and Abilities

• Ability to communicate efficiently with internal team members at all levels and across functional and organizational boundaries.
• Working knowledge of the TCP/IP suite/OSI layers of protocols.
• Conceptual knowledge of network and systems architecture.
• Familiarity with Intrusion Detection Systems configuration and operation.
• Web application architecture.
• Active Directory Solid understanding of how major application layer protocols function (e.g., HTTP, SMTP, DNS).
• Knowledge of categories of malware and how they function (e.g., rootkits, trojans, adware, exploits, fileless).
• Organizational skills and time management/prioritization.
• Comfortable working against deadlines in a fast-paced environment.
• At least 3 years of prior SOC experience (can include internships).
• Ability to build a strong, positive relationship with partnering engineering and security teams to develop effective solutions.
• Ability to sufficiently document engineering efforts and results.
• Passion for Security, Technology and Automation.
• Preferred Certifications (Security+, etc.).

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POSITION OVERVIEW

We are looking for a talented and creative problem solver to join Oportun as a Principal Product Manager for our Lending Platform. You will grow our Partnerships program and drive core Marketing capabilities in close partnership with business and marketing teams. This position is a key leadership role in the organization and requires a strategic thinker with a proven track record of successfully managing 0-1 launches.

In this role, you articulate product strategy, set objectives and key results, define roadmaps, and collaborate with cross-functional teams to lead Oportun’s Acquisitions pillar. You will work closely with partners to align priorities and drive execution. If you thrive in a fast-paced environment and have a passion for building products that delight users, this role is for you!

RESPONSIBILITIES

• Customer Insights & Validation: Maintain a deep understanding of customer needs and feedback through user research, surveys, and feedback loops, and incorporate this insight into product enhancements.
• Product Vision & Strategy: Work closely with leadership and cross-functional partners to define multi-year vision and OKRs.
• Growth Execution: Plan, run, and iterate experiments across funnel and channels to deliver measurable lifts in acquisition, activation, conversion, and retention.
• Execution: Drive a cross functional team of Product Managers, Designers, Engineers, ML scientists and Business (Marketing, Risk, Fraud) to deliver business impact.
• Risk Management: Work closely with compliance and risk management teams to ensure products adhere to regulatory requirements and industry best practices.
• Communication: Craft the product narrative, drive alignment and decision-making with executive leadership, and communicate priorities, risks, and trade-offs across functions and external partners.

QUALIFICATIONS

• Experience: You have 12+ years total experience, including 7-10+ years in product management within high-growth environments.
• Customer centric: You are passionate about improving the financial health of Oportun’s members.
• Analytical problem solver: You have experience working on complex problems. You excel in making data-informed decisions (testing and experimentation, defining metrics, data analysis).
• Collaborative: You have a track record of shipping and iterating on impactful products that required partnering with and building consensus across a wide group of cross-functional partners. You are also comfortable in an environment with shifting priorities.
• Excellent communicator: You are a clear and concise communicator, and you have superb documentation skills.
• Execution: You’re scrappy, solution-oriented, and able to help the team push through obstacles and blockers to deliver value for our members.
• Domain knowledge: 0-1 experience bringing new products (customer or parter-facing) to market in the financial services industry. You have launched & managed mature products within complex legal and regulatory frameworks.
• Cross-time zone leadership: You are experienced leading & partnering with distributed teams.

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