Who We Are
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.
Location Note
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 Opportunity
As 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 Do
Your 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