Senior Data Engineer: AWS ETL & Big Data Pipelines

Excelacom; Greenwood Village (CO); On-site; USD 90,000 - 115,000; Full time

Job summary

Excelacom is seeking an experienced Data Engineer Consultant in Greenwood Village, CO. You will design, develop, and maintain scalable ETL pipelines in AWS, working with data engineers, analysts, and clients to deliver high-impact data products.

The role focuses on data architecture, performance tuning, and implementing robust data solutions, with opportunities to mentor junior developers and drive cross-functional initiatives.

Qualifications

• Advanced experience designing and architecting ETL processes and analytic data products.
• Hands-on experience with Apache Iceberg and large-scale table formats.
• Strong Hadoop and Spark SQL experience with performance tuning.

Responsibilities

• Design, develop, and maintain robust ETL pipelines and datasets within AWS.
• Coordinate, build, and manage new data ingestions from diverse sources.
• Architect and implement updates, fixes, and performance optimizations across production data jobs.
• Write, review, test, and maintain production-quality code for high-volume data processing.
• Collaborate with analysts/scientists to support reporting and analytics.
• Mentor junior developers and share best practices.
• Engage with clients to translate business needs into scalable data solutions.
• Evaluate emerging technologies and provide recommendations.

Skills

ETL design

Iceberg

Hadoop/Spark

AWS data services

Python/PySpark

Production code

Data architecture

Problem solving

Mentoring

Consulting experience

Communication

Bachelor's degree

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Airflow

Linux shell

Shell scripting

Job description

Excelacom is seeking an experienced Data Engineer Consultant in Greenwood Village, CO. You will design, develop, and maintain scalable ETL pipelines in AWS, working with data engineers, analysts, and clients to deliver high-impact data products.

The role focuses on data architecture, performance tuning, and implementing robust data solutions, with opportunities to mentor junior developers and drive cross-functional initiatives.