Senior Cloud Data Engineer - Remote, Snowflake & ETL Expert

General Dynamics Information Technology, Inc.; Maryland; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Full-flex work week

Competitive pay and benefits

401(k) with company match

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Engineer Principal to design and deliver scalable data solutions for CMS. You will lead data pipelines, align with analysts, ensure data quality, and guide architecture and cost estimates.

Ideal candidates have 8+ years in data engineering, strong Python/SQL skills, Snowflake experience, and hands-on CI/CD with AWS pipelines. Remote work options and full-time commitment are available.

Qualifications

• 8+ years hands-on data engineering experience.
• Proficiency with Python, shell, SQL and JavaScript.
• Experience building decoupled, scalable data pipelines.
• Strong data warehouse skills, Snowflake preferred.
• CI/CD in development, test and production environments.
• Experience with AWS services and data workflows.

Responsibilities

• Design, build, test, debug scalable data solutions and enhancements.
• Conduct unit and integration testing to meet requirements.
• Provide technical guidance on architecture, planning and cost.
• Lead project initiatives and ensure milestones are met.
• Partner with analysts to define and optimize DW requirements.
• Collaborate with stakeholders to validate test plans and quality.
• Drive continuous improvement in data quality and automation.

Skills

Data Flows

Data Structures

Data Warehousing

ETL Processing

Python

SQL

Shell scripting

JavaScript

Snowflake

CI/CD

AWS

Git

Jira

Confluence

Education

Bachelor’s degree in a relevant field

Tools

Snowflake

Git-based repositories

AWS deployment pipelines

Jira

Confluence

Jupyter/Notebooks

Job description

General Dynamics Information Technology, Inc. is seeking a Data Engineer Principal to design and deliver scalable data solutions for CMS. You will lead data pipelines, align with analysts, ensure data quality, and guide architecture and cost estimates.

Ideal candidates have 8+ years in data engineering, strong Python/SQL skills, Snowflake experience, and hands-on CI/CD with AWS pipelines. Remote work options and full-time commitment are available.