Senior Data Engineer at Oportun

Oportun logo
Oportun

Senior Data Engineer

Remote

Full Time

#Engineering

#Fintech

#Data

#Data Architecture

#ETL

#Python

#Pyspark

#Java

#Scala

#Hadoop

#Spark

#Kafka

#SQL

Oportun is looking for a Senior Data Engineer

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At Oportun, we are a mission-driven fintech company dedicated to making financial goals accessible for our 2.0 million members. Since our founding, we have provided over $16.6 billion in affordable credit and helped our members save more than $2.4 billion in interest and fees. We take pride in our status as a certified Community Development Financial Institution, and we foster an inclusive culture where every team member feels a sense of belonging. By joining our engineering group, you will help build innovative, scalable solutions that empower our members to achieve long-term financial independence.

About the Role

We are looking for a Senior Data Engineer to join our Enterprise Data and Technology team on a full-time basis. In this role, you will act as a technical leader, designing and maintaining sophisticated data platforms that drive our business forward. You will have the opportunity to lead large-scale initiatives, mentor junior engineers, and translate complex business requirements into high-quality technical solutions.

Key Responsibilities

  • Lead the design and implementation of robust, scalable data architectures and models to meet our analytical and business needs.
  • Develop and optimize complex ETL processes and data pipelines to ingest and transform large volumes of structured and unstructured data.
  • Provide technical leadership by mentoring junior team members, conducting code reviews, and collaborating with cross-functional partners to ensure system reliability and performance.

Requirements

To be successful in this position, you should possess the following qualifications:

  • A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • At least 5 years of professional experience in data engineering, specifically within data architecture and database management.
  • Strong proficiency in Python, Pyspark, Java, or Scala.
  • Extensive expertise in big data technologies, including Hadoop, Spark, and Kafka.
  • Deep knowledge of SQL and experience working with various database technologies.
  • Experience building end-to-end data pipelines and using CI/CD orchestration tools like Jenkins or Airflow.
  • Strong problem-solving skills and the ability to thrive in an Agile work environment.

Location

This position is fully remote and can be performed from anywhere.

Compensation and Benefits

We value our employees and are committed to providing a supportive work environment. Key benefits for this role include:

  • The flexibility of remote work.
  • The opportunity to work within a diverse, equitable, and inclusive culture that celebrates different perspectives.
  • Access to employee resource groups designed to nurture our inclusive environment.
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Oportun

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1 applied

Company Size

1001-5000

Markets

Fintech
Financial Services
Consumer Lending

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