Sr. Data Analytics Engineer (R14153)
Oportun is a mission-driven financial services company dedicated to helping its members achieve their financial goals through responsible lending and innovative budgeting solutions. The Sr. Data Analytics Engineer will play a pivotal role in designing, developing, and maintaining sophisticated data platforms that support the company's engineering objectives. This position offers the opportunity to lead cross-functional, multi-month initiatives, providing technical leadership and mentoring junior engineers.
In this role, the Sr. Data Analytics Engineer will be responsible for designing and implementing scalable, efficient, and reliable data architectures that support both business and analytical needs. Key responsibilities include building and maintaining data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data. The engineer will also optimize data pipelines, databases, data warehouses, and data lakes for performance, reliability, scalability, and security. Collaboration with stakeholders to understand data requirements and translate business needs into effective data models and solutions is essential. Additionally, the role involves establishing and improving data quality standards, validation rules, documentation, and governance practices. Implementing monitoring and observability practices to identify bottlenecks and enhance platform reliability is also a key aspect of the position.
Candidates should have over 8 years of experience in data engineering, with strong expertise in data architecture, ETL processes, and database management. Proficiency in programming languages such as Python or PySpark, along with experience in Java or Scala, is required. Experience in building complex end-to-end data pipelines and data integration solutions is essential. A strong knowledge of SQL and experience with both relational and NoSQL database technologies are necessary. Familiarity with big data technologies like Spark, Kafka, and Hadoop, as well as orchestration and scheduling tools such as Airflow, Databricks, and Jenkins, is important. Experience designing and operating scalable, reliable, and secure data systems, along with familiarity with cloud platforms such as AWS, Azure, or GCP and associated data services, is also required. Experience working in Agile environments such as Scrum, Lean, or Kanban is beneficial. Strong problem-solving and decision-making skills, along with the ability to mentor junior engineers and contribute to technical leadership within a team, are essential. Excellent written and verbal communication skills are necessary for effective collaboration across technical and non-technical teams.
While specific compensation details are not provided, Oportun offers a competitive compensation and benefits package designed to support employees' physical, financial, and professional well-being. Benefits vary by country of employment and may include medical insurance, savings funds, life insurance, internet and electricity allowances, and paid time off such as vacation and parental leave. Eligibility and plan details vary by location and employment status.
Oportun fosters a culture of continuous learning and technical excellence, encouraging employees to take ownership and communicate clearly. The company values individuals who enjoy solving complex technical problems and building systems that others depend on. Mentorship and collaboration are key components of the work environment, with opportunities to lead multiple features and projects, coordinate work across engineers, and keep stakeholders informed of progress, risks, and dependencies. The role also involves helping evolve engineering tools, platforms, and practices, and encouraging the adoption of better ways of working. Additionally, there is an emphasis on looking for practical ways to use AI tools to improve engineering productivity, analysis, documentation, and problem-solving.
This position is remote, allowing for flexibility in work arrangements. Oportun is committed to providing its employees with the tools and support needed to succeed in a fast-paced and dynamic environment.