Senior Data Engineer: Scalable Data Architect & Pipelines

Oportun; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Oportun seeks a data engineering leader to design and implement scalable data architectures for member communications, define data contracts and lineage, and collaborate with privacy and risk teams.

You will build production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance, while advancing data quality and governance across the organization.

Qualifications

Responsibilities

• Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
• Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
• Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.

Job description

Oportun seeks a data engineering leader to design and implement scalable data architectures for member communications, define data contracts and lineage, and collaborate with privacy and risk teams.

You will build production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance, while advancing data quality and governance across the organization.