Senior Data Engineer

🔥 53 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oportun

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.

📋 Description

• Design and operate secure, scalable data products powering audience selection, eligibility, preferences, consent, campaign inputs, delivery data, and operational reporting • Lead the design and implementation of scalable, secure data architectures, defining data models, contracts, lineage, and ownership • Lead complex data engineering initiatives from technical requirements and design through production delivery • Coordinate work across engineers and stakeholders while managing dependencies, risks, and technical trade-offs • Design, develop, and optimize production-grade pipelines and integrations using Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, and SQL • Modernize appropriate legacy workloads • Build data-loading, reconciliation, retry, idempotency, recovery, and deployment patterns • Operate data lakehouse and operational data assets for performance, integrity, availability, and security • Establish data-quality and governance practices including validation, monitoring, alerts, dashboards, runbooks, and lineage • Partner with Privacy, Compliance, Risk, and Security on PII, preferences, consent, suppression, retention, and access controls • Provide technical leadership through design and code reviews, mentor junior engineers, and lead complex production investigations • Identify root causes and implement durable fixes • Partner with Product, Communications, Analytics, Engineering, Risk, Privacy, Compliance, and other stakeholders • Drive release readiness through automated testing, CI/CD, rollout planning, and post-release measurement • Monitor pipeline performance, quality, timeliness, cost, and reliability • Use AI tools thoughtfully to reduce manual work and improve decision-making

🎯 Requirements

• 6+ years of experience in data engineering, focused on 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, automated testing, and 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, sensitive member data, and Agile ways of working • Experience in financial services, lending, marketing technology, customer communications, or another regulated environment • Familiarity with Unity Catalog or comparable data-governance tooling, and Java or Scala • Experience using AI tools such as ChatGPT or Copilot to improve engineering productivity, testing, documentation, troubleshooting, data quality, or operational effectiveness • Familiarity with AI agents or automations and sound judgment for security, privacy, accuracy, and human review

🏖️ Benefits

• Medical, Dental & Vision Insurance • Provident Fund • Life & Accident Insurance • Internet allowance • Fuel allowance • Meal allowance • Telephone allowance • Competitive compensation and benefits package supporting physical, financial, and professional well-being