Mid-Level Data Engineer for Federal BI & ETL

CGS Federal; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health, Dental, Vision

Life Insurance

401k

Flexible Spending Account (FSA)

Paid Time Off

Job summary

CGS Federal is seeking a Data Engineer to join our Business Intelligence team. You will support a growing data analytics and BI platform for federal customers, building scalable data pipelines, automating ingest, and delivering reliable data to analysts and dashboards.

Ideal candidates have 7+ years IT experience, expertise in Python, SQL, ETL, and big data storage tools, and are comfortable working in Agile/Scrum environments with CI/CD practices. Public Trust clearance is a plus, U.S.

Qualifications

• US Citizen required.
• Public Trust Clearance ability preferred.
• 7+ years IT experience with large, complex data sets and models.
• Experience developing data pipelines from diverse sources.
• ETL development and validation experience.
• Data manipulation using Python, SQL, R, SAS.
• Strong knowledge of big data tools and storage.
• Understanding of CI/CD pipelines and agile practices.
• Experience with PostgreSQL and version control (Git).

Responsibilities

• Develop end-to-end data pipelines for diverse data sources.
• Collaborate in an Agile/Scrum team to deliver data solutions.
• Write code to ensure reliable data extraction and processing.
• Automate data ingestion processes and improve CI/CD pipelines.
• Design scalable data architectures and APIs for data access.
• Document complex requirements with engineers and PMs.
• Collaborate with cross-functional teams including UX researchers, designers, product managers, and engineers.

Skills

Python

SQL

R

SAS

Agile/Scrum

Data modeling

CI/CD

Tools

PostgreSQL

Git

Tableau

Power BI

Linux shell

APIs (REST)

Job description

CGS Federal is seeking a Data Engineer to join our Business Intelligence team. You will support a growing data analytics and BI platform for federal customers, building scalable data pipelines, automating ingest, and delivering reliable data to analysts and dashboards.

Ideal candidates have 7+ years IT experience, expertise in Python, SQL, ETL, and big data storage tools, and are comfortable working in Agile/Scrum environments with CI/CD practices. Public Trust clearance is a plus, U.S.