Job Summary

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, youll 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, youll fit right in.

What Youll 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.
- Youll 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
- Youll 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.
- Youll 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.
- Youll 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.
- Youll 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.
- Youll 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.

Who You Are

Youre 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.

Youre comfortable balancing member experience, privacy, compliance, reliability, performance, and cost when making technical decisions.

What You Bring

Skills & experience

Required

- Youll have 6+ years of experience in data engineering, with a focus on data architecture, data pipelines, data platforms, and database or lakehouse management.
- Youll have a bachelors or masters 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.
- Youll 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.
- Youll 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.
- Youve 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.

Our AI Mindset

We build with AI. We lead with judgment.

AI isnt a feature here. Its how we work.

Were excited about what AI makes possible, and were looking for people who share that curiosity. You dont need to be an expert. You need to be open to experimenting, willing to learn, and able to apply current tools in ways that actually move the needle.

In this role, youll 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer (India)
🏢 Oportun
📍 India