Remote Cloud Data Engineer Lead for Scalable Pipelines

Remote; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work

Full-flex hours

Job summary

GDIT is seeking a Cloud Data Engineer to transform healthcare data, build scalable pipelines, and drive data quality across CMS programs. You will design and implement robust data workflows, collaborate with analysts, and promote CI/CD practices in a remote or home-office setup.

The role requires 8+ years in data engineering, strong Python/SQL, Snowflake, and AWS experience, plus CI/CD and Agile/Scrum familiarity. Telecommuting options: Remote; travel less than 10%.

Qualifications

• Bachelor’s degree in a relevant field is required.

Responsibilities

• Design, build, test, debug, and document scalable data solutions, delivering enhancements for both new and existing systems.

Skills

Data flows

Data structures

Data warehousing

ETL processing

Python

Shell scripting

SQL

JavaScript

CI/CD

AWS

Snowflake

Jira

Confluence

Git-based repos

Agile/Scrum

Education

Bachelor’s degree

Tools

Snowflake

AWS

Jira

Confluence

Bitbucket

CodeCommit

GitHub

Job description

GDIT is seeking a Cloud Data Engineer to transform healthcare data, build scalable pipelines, and drive data quality across CMS programs. You will design and implement robust data workflows, collaborate with analysts, and promote CI/CD practices in a remote or home-office setup.

The role requires 8+ years in data engineering, strong Python/SQL, Snowflake, and AWS experience, plus CI/CD and Agile/Scrum familiarity. Telecommuting options: Remote; travel less than 10%.