Senior Data Platform Engineer - Remote MX

Oportun

United States

Remote

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Oportun is seeking a Sr. Data Engineer to design, develop, and maintain scalable data platforms. You will drive architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.

Responsibilities include building data pipelines, improving data quality, and leading multiple features from requirements to delivery. Remote-friendly role with a strong emphasis on AI-assisted tooling to boost productivity.

Qualifications

  • 8+ years of experience in data engineering focusing on data architecture, ETL, and DB management.
  • Strong programming skills in Python or PySpark, plus Java or Scala.
  • Experience building end-to-end data pipelines and data integration solutions.
  • Proficient with SQL and relational/NoSQL databases.
  • Familiar with cloud platforms (AWS/Azure/GCP) and orchestration tools like Airflow or Databricks.

Responsibilities

  • Design and implement scalable data architectures for business and analytical needs.
  • Build and maintain data pipelines, ETL processes, and data integration for large data volumes.
  • Optimize data platforms for performance, reliability, and security.
  • Lead architecture decisions and provide technical leadership while mentoring juniors.
  • Collaborate with cross-functional teams and ensure production issues are resolved.

Skills

Python/PySpark
Java/Scala
SQL
Communication
Mentoring

Education

Bachelor’s or Master’s in CS/DS
Databricks certification

Tools

Spark
Kafka
Hadoop
Airflow
Databricks
Jenkins

Job description

Oportun is seeking a Sr. Data Engineer to design, develop, and maintain scalable data platforms. You will drive architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.

Responsibilities include building data pipelines, improving data quality, and leading multiple features from requirements to delivery. Remote-friendly role with a strong emphasis on AI-assisted tooling to boost productivity.

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