Lead Data Engineer — AWS ETL & Data Pipeline Expert

Blend; United States; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Mentoring

Travel to conferences

Flexible working options

Job summary

Blend is seeking a Lead Data Engineer to design and maintain enterprise data solutions with a focus on data warehouses, operating data stores, and ETL pipelines.

You will own the middle layer of the data pipeline, combining Quantum interaction data with operational sources. Build and maintain ETL workflows and manage AWS resources to support Tableau dashboards, while investigating data issues and collaborating with stakeholders to ensure data accuracy. Flexible working options are available.

Qualifications

• 5+ years of experience in Data Engineering or Data Architecture.
• Strong AWS, SQL, and Spark skills, with hands-on ETL pipeline experience.
• Collaborative approach to problem-solving and data quality.

Responsibilities

• Own the middle layer of the data pipeline, combining Quantum interaction data with operational sources.
• Build and maintain ETL workflows and manage AWS resources to support Tableau dashboards.
• Investigate data issues and collaborate with technical and business stakeholders to ensure data accuracy.

Skills

AWS

SQL

Spark

ETL pipelines

Tools

Databricks

Tableau

Job description

Blend is seeking a Lead Data Engineer to design and maintain enterprise data solutions with a focus on data warehouses, operating data stores, and ETL pipelines.

You will own the middle layer of the data pipeline, combining Quantum interaction data with operational sources. Build and maintain ETL workflows and manage AWS resources to support Tableau dashboards, while investigating data issues and collaborating with stakeholders to ensure data accuracy. Flexible working options are available.