Sr. Data Engineer - Remote

Overview

As a Sr. Data Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group.

In Short

• Lead the design and implementation of scalable, efficient, and robust data architectures.
• Collaborate with stakeholders to understand data requirements.
• Design and develop data pipelines, ETL processes, and data integration solutions.
• Optimize data pipelines for performance, reliability, and scalability.
• Oversee the management and maintenance of databases and data warehouses.
• Establish and enforce data quality standards and governance practices.
• Provide technical leadership and mentorship to junior team members.
• Collaborate with cross-functional teams to understand their data needs.
• Implement monitoring systems to track data pipeline performance.
• Drive initiatives to improve data quality and documentation.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering.
• Proficiency in programming languages like Python/PySpark and Java or Scala.
• Expertise in big data technologies such as Hadoop, Spark, Kafka.
• In-depth knowledge of SQL and experience with various database technologies.
• Experience in building complex end-to-end data pipelines.
• Experience with orchestration and designing job schedules using CICD tools.
• Ability to work in an Agile environment.
• Ability to mentor junior team members.
• Familiarity with cloud platforms and their data services.

Benefits

• Inclusive culture fostering diversity and belonging.
• Opportunities for professional growth and development.
• Engagement in impactful projects that advance financial inclusion.
• Collaboration with cross-functional teams.
• Supportive work environment with mentorship opportunities.