Senior Data Engineer

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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 implement scalable, efficient, and robust data architectures • Collaborate with stakeholders to define data models and structures • Design and develop data pipelines, ETL processes, and data integration solutions • Optimize pipelines for performance, reliability, and scalability • Manage databases, data warehouses, and data lakes • Establish data quality standards, validation rules, and governance practices • Improve data quality and documentation of data assets • Provide technical leadership and mentorship to junior engineers • Lead and participate in code reviews • Collaborate with data scientists, analysts, product managers, designers, engineers, and business stakeholders • Translate technical concepts into actionable insights and business value • Implement monitoring systems to track pipeline performance and identify bottlenecks • Drive evolution of tools and applications and adoption of new practices • Troubleshoot, identify root causes, escalate or resolve customer issues • Lead multiple features and projects spanning multiple engineers • Keep stakeholders informed and support the lead/EM with work updates and issue escalations

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field • 5+ years of experience in data engineering focused on data architecture, ETL, and database management • Proficiency in Python/PySpark and Java or Scala • Expertise in Hadoop, Spark, Kafka, and related big data technologies • In-depth SQL knowledge and experience with PostgreSQL, MariaDB, and NoSQL databases • Experience building complex end-to-end data pipelines • Experience with orchestration and job scheduling using Jenkins, Airflow, or Databricks • Ability to work in an Agile environment such as Scrum, Lean, or Kanban • Ability to mentor junior team members • Familiarity with AWS, Azure, GCP, and data services such as Redshift, S3, and Azure SQL Data Warehouse • Strong leadership, problem-solving, and decision-making skills • Excellent communication and collaboration abilities • Databricks familiarity or certification is a plus

🏖️ Benefits

• Diverse, equitable and inclusive culture • Employee resource groups • Equal opportunity employment