Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Financial Services • Responsible Lending • Pre-Paid Debit Cards • Serving the Underbanked • Data Analytics
1001 - 5000
July 30
Airflow
Amazon Redshift
AWS
Azure
Cloud
ETL
Google Cloud Platform
Hadoop
Java
Jenkins
Kafka
MySQL
NoSQL
Postgres
PySpark
Python
Scala
Spark
SQL
Go
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Financial Services • Responsible Lending • Pre-Paid Debit Cards • Serving the Underbanked • Data Analytics
1001 - 5000
• Oportun (Nasdaq: OPRT) is a digital banking platform that puts its 2.2 million members' financial goals within reach. • Oportun empowers members with the confidence to build a better financial future. • Engineering group at Oportun is to be the world-class engineering force behind innovative products. • Responsible for high quality and scalable technical execution to achieve business goals and product vision. • The Enterprise Data and Technology (EDT) pillar focuses on enabling wide use of corporate data assets whilst ensuring quality, availability and security across the data landscape.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field. • 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. • Proficiency in programming languages like Python/Pyspark and Java/Scala • Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. • In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases). • Experience and expertise in building complex end-to-end data pipelines. • Experience with orchestration and designing job schedules using the CICD tools like Jenkins and Airflow. • Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) • Ability to mentor junior team members. • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). • Strong leadership, problem-solving, and decision-making skills. • Excellent communication and collaboration abilities.
Apply NowJuly 23
201 - 500
Shape and deliver data engineering initiatives, ensuring impactful solutions for healthcare information.
July 18
10,000+
Develop and maintain data solutions for Gracenote incorporating Cloud, Python, SQL, and BI technologies.