Oportun

Oportun

Oportun is a financial services company that provides loans with convenient and fixed payments to help customers establish credit history and build a better future. With over 900,000 customers served and $3,300 million in loans granted, Oportun operate...

Banks
1K-5K
Founded 2005
$566M raised

Description

  • Lead the design and implementation of scalable, efficient, and robust data architectures.
  • Design and develop data pipelines, ETL processes, and data integration solutions for large structured and unstructured data sets.
  • Optimize data pipelines for performance, reliability, and scalability.
  • Oversee the management and maintenance of databases, data warehouses, and data lakes.
  • Establish and enforce data quality standards, validation rules, and data governance practices.
  • Drive improvements in data quality and documentation of data assets.
  • Provide technical leadership and mentorship to junior engineers.
  • Lead and participate in code reviews to ensure best practices and high-quality code.
  • Collaborate with data scientists, analysts, product managers, designers, and business stakeholders to translate needs into solutions.
  • Own troubleshooting, root cause analysis, and escalation or resolution of customer and system issues.

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 Python/PySpark and Java or Scala.
  • Experience with big data technologies such as Hadoop, Spark, and Kafka.
  • Strong SQL knowledge and experience with PostgreSQL, MariaDB, or NoSQL databases.
  • Experience building complex end-to-end data pipelines.
  • Experience with orchestration and job scheduling tools such as Jenkins, Airflow, or Databricks.
  • Experience working in an Agile environment such as Scrum, Lean, or Kanban.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services.
  • Strong leadership, problem-solving, decision-making, communication, and collaboration skills.
  • Ability to mentor junior team members.
  • Familiarity with or certification in Databricks is a plus.

Benefits

  • Remote work indicated by #LI-REMOTE.
  • Equal Opportunity Employer consideration for all qualified applicants.
  • No pre-employment fees for background checks, training, or equipment.
  • Protection from requests for sensitive personal or financial information before hire.

Interested in this position?

Apply directly on the company website

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