Senior Data Engineer - Capital Markets

Описание

Oportun is hiring a Senior Data Engineer to design, build, and maintain scalable data architectures, ETL pipelines, and data platforms. This role involves leading technology efforts from requirements to delivery for large initiatives, contributing to architectural decisions, and mentoring junior engineers.

Responsibilities

• Design and implement scalable, efficient, and reliable data architectures that support business and analytical needs.
• Build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.
• Optimize data pipelines, databases, data warehouses, and data lakes for performance, reliability, scalability, and security.
• Partner with stakeholders to understand data requirements, develop domain expertise, and translate business needs into effective data models and solutions.
• Establish and improve data quality standards, validation rules, documentation, and governance practices.
• Implement monitoring and observability practices to identify bottlenecks, improve performance, and strengthen platform reliability.
• Provide technical leadership on architecture, scalability, reliability, monitoring, integration, and extensibility.
• Lead and contribute to code reviews, helping maintain high standards for code quality, performance, and maintainability.
• Mentor junior engineers and support a culture of continuous learning and technical excellence.
• Take ownership of production issues, including troubleshooting, root-cause analysis, escalation, and long-term resolution.
• Independently lead multiple features and projects, coordinate work across engineers, and keep stakeholders informed of progress, risks, and dependencies.
• Help evolve engineering tools, platforms, and practices and encourage adoption of better ways of working.
• Look for practical ways to use AI tools to improve engineering productivity, analysis, documentation, and problem-solving.

Requirements

• 8+ years of experience in data engineering, with strong experience in data architecture, ETL, and database management.
• Strong programming skills in Python or PySpark, plus experience with Java or Scala.
• Experience building complex end-to-end data pipelines and data integration solutions.
• Strong knowledge of SQL and experience with relational and NoSQL database technologies.
• Experience with big data technologies such as Spark, Kafka, Hadoop, or similar platforms.
• Experience with orchestration and scheduling tools such as Airflow, Databricks, Jenkins, or similar technologies.
• Experience designing and operating scalable, reliable, and secure data systems.
• Familiarity with cloud platforms such as AWS, Azure, or GCP and associated data services.
• Experience working in Agile environments such as Scrum, Lean, or Kanban.
• Strong problem-solving and decision-making skills.
• Experience mentoring junior engineers and contributing to technical leadership within a team.
• Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams.

Nice to have

• Bachelor
• Master's degree in Computer Science, Data Science, or a related field.
• Databricks experience or certification.
• Experience with AWS Redshift, S3, Azure SQL Data Warehouse, or comparable cloud data services.
• Experience implementing data governance, data quality, or observability frameworks.
• Experience leading cross-functional or multi-month engineering initiatives.
• Experience using AI-assisted engineering tools to improve development, troubleshooting, documentation, or productivity.

We offer

• Oportun offers a competitive compensation and benefits package designed to support your physical, financial, and professional well-being.
• Benefits vary by country of employment.
• Medical Insurance (Mexico).
• Savings Fund (Mexico).
• Life Insurance (Mexico).
• Internet and Electricity Allowance (Mexico).
• Paid time off such as vacation and parental leave (Mexico).