Data Security Engineer (R13982)
Oportun · India
- Hybrid
- Full-time
- $120,000 / year
- India
Job highlights
- Build security data pipelines and infrastructure.
- Handle security logs, threat intelligence, sensitive data.
- Design, implement, and maintain data systems.
- Collaborate with cross-functional data teams.
- Ensure data quality, reliability, and accessibility.
About the role
About Oportun
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 $21.3 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.
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.
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).
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).
Key skills/competency
- Data Security Engineer
- Data Engineering
- Data Pipelines
- ETL/ELT
- Python
- SQL
- Databricks
- Cloud Platforms (AWS, GCP, Azure)
- Data Modeling
- Security Best Practices
Skills & topics
- Data Security Engineer
- Data Engineering
- Data Pipelines
- Security Logs
- Threat Intelligence
- Python
- SQL
- Databricks
- Cloud Data
- ETL
How to get hired
- Tailor your resume: Highlight SQL, Python, Databricks, and cloud experience.
- Showcase security data skills: Emphasize experience with security logs and threat intelligence.
- Prepare for technical interviews: Practice coding challenges in Python and SQL, and Databricks concepts.
- Demonstrate problem-solving: Be ready to discuss your approach to data challenges and optimization.
- Research Oportun's mission: Understand their commitment to financial inclusion and data-driven decisions.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Security Engineer at Oportun?
- As a Data Security Engineer at Oportun, your primary responsibilities will involve designing, implementing, and maintaining scalable data pipelines and systems specifically for security-related data, including security logs, threat intelligence, and sensitive datasets. You'll collaborate with various teams to ensure data quality, reliability, and accessibility, while also automating workflows and contributing to documentation.
- What technical skills are essential for the Data Security Engineer role at Oportun?
- Essential technical skills include strong proficiency in SQL and Python for data processing and transformation, hands-on experience with Databricks or similar platforms like Spark, and a foundational understanding of data modeling, ETL/ELT, and data warehousing. Experience with cloud platforms (AWS, GCP, Azure) and version control tools like GitHub is also crucial.
- What experience level is Oportun looking for in a Data Security Engineer?
- Oportun is seeking candidates with 2-4 years of experience in data engineering, software engineering, or related technical roles. The role is described for a developing professional who can execute scoped data initiatives with guidance, progressively building technical depth.
- How does Oportun foster an inclusive work environment for its Data Security Engineers?
- Oportun cultivates a diverse, equitable, and inclusive culture where all employees feel a sense of belonging and are encouraged to share their perspectives. This is supported through employee resource groups and is directly linked to the organization's performance and ability to fulfill its mission.
- What is Oportun's mission, and how does this role contribute to it?
- Oportun's mission is to put its members' financial goals within reach by providing responsible and affordable credit, savings, and budgeting tools, particularly to those left out of the financial mainstream. As a Data Security Engineer, you contribute by ensuring the secure and reliable handling of data that supports Oportun's data-driven decision-making and its overall mission.
- Are there opportunities for professional growth as a Data Security Engineer at Oportun?
- Yes, as a developing professional, the role offers opportunities to progressively build technical depth and system ownership by working on scoped data initiatives under the guidance of experienced engineers.
- What are Oportun's preferred qualifications for a Data Security Engineer?
- Preferred qualifications include a Bachelor's degree in Computer Science or a related field, experience with big data technologies (Apache Spark, Delta Lake), workflow orchestration tools (Airflow), infrastructure-as-code (Terraform), and an understanding of data governance and security best practices. Relevant certifications are also a plus.