Senior Data Engineer, Public Sector - Secret Clearance

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

Benefits offered by this job

Health, dental & vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale seeks a Senior Data Engineer for the Public Sector to build scalable data infrastructure across its data warehouse, data mart, and BI reporting environments. You will model, mine, aggregate, and expose data for timely decision-making and enable users to transition workflows to new systems.

Collaboration with leadership and cross-functional teams is essential to deliver reliable data solutions. You will develop repeatable analytical solutions, create core data models, and pipelines, and

Qualifications

• 5+ years of relevant work experience in data modeling and analytics.
• Ability to create extensible and scalable data schema and pipelines for downstream analysis.
• Mastery of SQL and relational databases; experience with Python/R.
• Experience building a reliable transformation layer and pipelines from ambiguous business processes using DBT.

Responsibilities

• Work with operations, finance, and engineering to drive pipelines that provide single-source-of-truth accuracy.
• Continuously improve data pipelines and simplify self-service support for business stakeholders.
• Perform regular system audits and create data quality tests for complete and accurate reporting.

Skills

SQL

Relational databases

Data modeling

Python

R

Tools

DBT

Job description

Scale seeks a Senior Data Engineer for the Public Sector to build scalable data infrastructure across its data warehouse, data mart, and BI reporting environments. You will model, mine, aggregate, and expose data for timely decision-making and enable users to transition workflows to new systems.

Collaboration with leadership and cross-functional teams is essential to deliver reliable data solutions. You will develop repeatable analytical solutions, create core data models, and pipelines, and