Senior Data Engineer - AWS, QuickSight & Data Warehousing

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer to design, build, and deploy scalable data pipelines and analytics-ready data warehouses in a remote US-based role. You will work with AWS services (S3/Glue/EMR, Redshift, Athena, Lambda) and leverage PySpark and SQL to deliver robust analytics solutions.

You will translate business requirements into dashboards and KPIs, ensure data quality and security, and collaborate with cross-functional teams to drive data-driven decision

Qualifications

• Hands-on experience building scalable data pipelines using AWS services.
• Expertise in data warehousing and data modeling for analytics.
• Strong SQL skills with complex joins and window functions.
• Proficient in Python or PySpark for data processing.
• Experience with Amazon QuickSight and dashboarding.

Responsibilities

• Design, develop, test, and deploy production-grade data pipelines.
• Build scalable data warehouses and data lakes on AWS.
• Translate business requirements into dashboards and KPIs.
• Implement data quality, monitoring, and security controls.
• Collaborate with stakeholders across teams.

Skills

SQL

Python

PySpark

Data Modeling

Dashboarding

Tools

AWS

Redshift

Athena

Glue/EMR

S3

Lambda

QuickSight

Airflow

Job description

United States Digital Space LLC is seeking a Senior Data Engineer to design, build, and deploy scalable data pipelines and analytics-ready data warehouses in a remote US-based role. You will work with AWS services (S3/Glue/EMR, Redshift, Athena, Lambda) and leverage PySpark and SQL to deliver robust analytics solutions.

You will translate business requirements into dashboards and KPIs, ensure data quality and security, and collaborate with cross-functional teams to drive data-driven decision