Data Engineer (OnPrem)

Senior Data Engineers/Data Engineers

In this role, you’ll work closely with both Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making.

This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale, modern data environments, while gaining exposure to advanced architectures and tooling.

You will:

• Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs.
• Build, maintain, and optimize

  data pipelines and transformations

  using

  Python, SQL, and Spark

  .
• Manage large-scale data storage and processing with

  Iceberg, Hadoop, and HDFS

  .
• Develop and maintain

  dbt models

  to ensure clean, reliable, and well-structured data.
• Implement robust

  data ingestion processes

  , integrating with

  third-party APIs

  and on-premise systems.
• Collaborate with cross-functional teams to align on business goals and technical requirements.
• Contribute to documentation and continuously improve engineering and data quality processes.

Qualifications

• 2+ years of experience in

  data engineering

  , including at least

  1 year with on-premise systems

  .
• Proficiency in

  Python

  for data workflows and pipeline development.
• Strong experience with

  SQL, Spark, Iceberg, Hadoop, HDFS, and dbt

  .
• Familiarity with

  third-party APIs

  and data ingestion processes.
• Excellent communication skills, with the ability to work independently and engage effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Master’s degree in

  Data Science

  or a related field.
• Experience with

  Airflow

  or other orchestration tools.
• Hands-on experience with

  Cursor, Copilot, or similar AI-powered developer tools

  .