Senior Data Engineer

March 14

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Oportun

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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.

Financial Services • Responsible Lending • Pre-Paid Debit Cards • Serving the Underbanked • Data Analytics

1001 - 5000 employees

Founded 2006

💳 Fintech

💸 Finance

📋 Description

• As a Sr. Data Engineer at Oportun, you will be responsible for designing, developing, and maintaining sophisticated software/data platforms. • Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. • Actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams. • Deliver high-quality, scalable software solutions that advance our impact in the market. • Lead the technology effort for large initiatives from technical requirements gathering to final delivery.

🎯 Requirements

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