Senior Data Engineer, Public Sector — Analytics & Security

Segment (Twilio); Washington (District of Columbia); On-site; USD 150,400 - 259,000; Full time

Benefits offered by this job

Health coverage

Dental coverage

Vision coverage

Retirement benefits

Learning stipend

PTO

Commuter stipend

Job summary

Scale is seeking a Senior Data Engineer for the Public Sector to build scalable analytics infrastructure. You will develop pipelines, data models, and BI environments supporting millions of tasks processed via APIs.

A Secret security clearance is required, with Top Secret preferred for higher access levels. You will collaborate with operations, finance, and engineering to deliver reliable data foundations and self-service tools for stakeholders, ensuring data quality and consistency across the

Qualifications

• 5+ years of experience applying data modeling and analytics.
• Ability to design extensible, scalable data schemas and pipelines.
• Mastery of SQL and relational databases; Python or R experience.
• Experience building reliable transformation layers with DBT.
• Ability to translate ambiguous business processes into data-driven solutions.

Responsibilities

• Develop pipelines to deliver single-source-of-truth data.
• Improve pipelines and enable self-service for stakeholders.
• Perform data quality audits and reporting accuracy tests.
• Create scalable analytics solutions and data models.
• Implement data warehouse, data mart, and BI environments.
• Maintain security clearance (Secret; Top Secret preferred).

Skills

SQL

Data modeling

Relational databases

Python

Data pipelines

DBT

R

Tools

DBT

Job description

Scale is seeking a Senior Data Engineer for the Public Sector to build scalable analytics infrastructure. You will develop pipelines, data models, and BI environments supporting millions of tasks processed via APIs.

A Secret security clearance is required, with Top Secret preferred for higher access levels. You will collaborate with operations, finance, and engineering to deliver reliable data foundations and self-service tools for stakeholders, ensuring data quality and consistency across the