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 $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.
We’re excited to consider talent currently based in India, as well as candidates who are open to relocating to India for this opportunity. Please note that, as this is a "Remote–India" position, the role must be performed from within India.
The OpportunityAs a Senior Data Engineer on the Member Communication Platform team, you'll design and operate secure, scalable data products that power audience selection, eligibility, preferences, consent, campaign inputs, delivery data, and operational reporting. In your first year, success means delivering reliable Databricks-based pipelines and integrations, improving data quality and observability, and providing technical leadership across cross-functional initiatives that support timely, relevant, and compliant member communications.
At 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.
What You'll DoYour day-to-day
- You'll lead the design and implementation of scalable, secure data architectures for member communications, defining data models, contracts, lineage, and ownership.
- You'll independently lead complex data engineering initiatives from technical requirements and design through production delivery, coordinating work across multiple engineers and stakeholders while proactively managing dependencies, risks, and technical trade-offs
- You'll design, develop, and optimize production-grade data pipelines and integrations using Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, and SQL, while modernizing appropriate legacy workloads.
- You'll build reliable data-loading, reconciliation, retry, idempotency, recovery, and deployment patterns, and help operate data lakehouse and operational data assets for performance, integrity, availability, and security.
- You'll establish data-quality and governance practices, including validation, monitoring, alerts, dashboards, runbooks, and lineage, and partner with Privacy, Compliance, Risk, and Security on PII, preferences, consent, suppression, retention, and access controls.
- You'll provide technical leadership through design and code reviews, mentor junior engineers, lead complex production investigations, identify root causes, and implement durable fixes that reduce recurring operational burden.
- You'll partner with Product, Communications, Analytics, Engineering, Risk, Privacy, Compliance, and other stakeholders to translate needs and technical trade-offs into actionable solutions, drive release readiness through automated testing, CI/CD, rollout planning, and post-release measurement, monitor pipeline performance, quality, timeliness, cost, and reliability, and look for practical ways to use AI tools thoughtfully to work smarter, reduce manual work, and make better decisions faster.
The right fit looks like this
You're a hands-on data engineer who enjoys solving complex problems and turning ambiguous business needs into reliable, scalable technical solutions. You take ownership of production outcomes, communicate clearly across technical and non-technical audiences, and help raise the bar through mentorship, thoughtful design reviews, and continuous improvement.
You're comfortable balancing member experience, privacy, compliance, reliability, performance, and cost when making technical decisions.
What You BringSkills & experience
Required
- You'll have 6+ years of experience in data engineering, with a focus on data architecture, data pipelines, data platforms, and database or lakehouse management.
- You'll have a bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience; strong proficiency in Python/PySpark and SQL; and strong leadership, problem-solving, decision-making, and communication skills.
- You'll bring strong hands-on experience with Databricks, Apache Spark, Spark SQL, Delta Lake, workflow orchestration, CI/CD, Git-based workflows, automated testing, and end-to-end data integrations or products in production environments.
- You'll have experience with data quality, observability, alerting, lineage, cloud platforms and services (especially AWS), secure access controls, secrets management, encryption, auditability, sensitive member data, and Agile ways of working.
Nice to Have
Experience in financial services, lending, marketing technology, customer communications, or another regulated environment.
Familiarity with Unity Catalog or comparable data-governance tooling, and experience with Java or Scala.
You've used AI tools such as ChatGPT, Copilot, or similar tools to improve engineering productivity, testing, documentation, troubleshooting, data quality, or operational effectiveness.
Familiarity with using AI agents or automations to research, prototype, test, document, and deliver solutions across a broad technology stack with sound judgment for security, privacy, accuracy, and human review.
We build with AI. We lead with judgment.
AI isn't a feature here. It's how we work.
We'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.
In 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.Why Oportun
What's in it for you
Oportun offers a competitive compensation and benefits package designed to support your physical, financial, and professional well-being. Benefits vary by country of employment.
Some of the benefits available to eligible employees include:
India Benefits:
Medical, Dental & Vision Insurance;
Provident Fund; Life & Accident Insurance;
Internet, Fuel, Meal & Telephone Allowances.
Eligibility and plan details vary by location and employment status. To learn more about Oportun and our benefits, visit oportun.com/careers #LI-REMOTE #LI-SS1
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).
Skills Required
- 6+ years of experience in data engineering, data architecture, data pipelines, data platforms, and database or lakehouse management
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
- Strong proficiency in Python, PySpark, and SQL
- Strong leadership, problem-solving, decision-making, and communication skills
- Hands-on experience with Databricks, Apache Spark, Spark SQL, Delta Lake, workflow orchestration, CI/CD, Git-based workflows, and automated testing
- Experience with end-to-end data integrations or products in production environments
- Experience with data quality, observability, alerting, lineage, cloud platforms and services, especially AWS
- Experience with secure access controls, secrets management, encryption, auditability, and sensitive member data
- Experience working in Agile environments
- Experience in financial services, lending, marketing technology, customer communications, or another regulated environment
- Familiarity with Unity Catalog or comparable data-governance tooling
- Experience with Java or Scala
- Experience using AI tools such as ChatGPT or Copilot to improve engineering productivity
- Experience using AI agents or automations across technology workflows with appropriate security, privacy, accuracy, and human review
Oportun Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oportun and has not been reviewed or approved by Oportun.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with flexible spending accounts also offered. Company materials consistently position core health insurance as a strong part of the package.
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Leave & Time Off Breadth — Paid time off, paid holidays, and dedicated volunteer time off are highlighted across company and third‑party profiles. Time‑away programs are frequently called out as positives within the overall package.
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Flexible Benefits — Remote‑work options are available for many roles, alongside perks such as commuter benefits, legal assistance, employee discounts, and job training. Flexibility in where work is performed and a variety of add‑on perks broaden the total offering.
Oportun Insights
What We Do
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone. Driven by a mission to provide inclusive and affordable financial services, Oportun helps its nearly 1.5 million hardworking members meet their daily borrowing, savings, banking, and investing needs. Since inception, Oportun has provided more than $12 billion in responsible and affordable credit, saved its members more than $2 billion in interest and fees, and automatically helped members set aside more than $7.2 billion for rainy days and other needs. In recognition of its responsibly designed products, Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.
