O
Oportunvia Greenhouse
Senior Data Engineer - Capital Markets (R13923)
REMOTEPosted 5d ago
Data EngineerSeniorFull-time
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About the Role
ABOUT OPORTUN
Oportun (Nasdaq: OPRT) is a mission-driven financial services company that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $22.7 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually.
POSITION 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. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects).
WHAT YOU'LL DO
Data Architecture and Design:
- Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements.
- Collaborate with stakeholders to understand data requirements, build subject matter expertise, and define optimal data models and structures.
Data Pipeline Development and Optimization:
- Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Optimize data pipelines for performance, reliability, and scalability.
Database Management and Optimization:
- Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security.
- Implement and manage ETL processes for efficient data loading and retrieval.
Data Quality and Governance:
- Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations.
- Drive initiatives to improve data quality and documentation of data assets.
Mentorship and Leadership:
- Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth.
- Lead and participate in code reviews, ensuring best practices and high-quality code.
Collaboration and Stakeholder Management:
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs.
- Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value.
Performance Monitoring and Optimization:
Common Requirements
- Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability.
- You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective solutions.
- You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility.
- You conduct code revie
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