Remote Cloud Data Ingestion Engineer

Spatial Front, Inc; Washington (District of Columbia); On-site; USD 65,000 - 100,000; Full time

Benefits offered by this job

Remote work

Job summary

Spatial Front, Inc. is seeking an IDF Dataflow Analyst to support a large‑scale data modernization initiative, migrating legacy systems to a centralized, cloud data platform.

You will join a Dataflow Team serving as the bridge for real‑time, high‑volume data across a complex enterprise environment. The role focuses on building a centralized, real‑time data repository to enable scalable data access, analytics, and future AI/ML capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
• 5–8 years of experience in a technical, data, or systems support role.
• 1–2 years of hands‑on experience with cloud platforms (AWS, Azure, or GCP).
• Strong scripting experience in Python and Bash (Perl experience a plus).
• Experience supporting data pipelines, ETL processes, or system integrations.
• Familiarity with CI/CD tools and automated workflows.
• Minimum 2 years of Linux/Unix system administration or support experience.
• Ability to obtain and maintain a Public Trust clearance.

Responsibilities

• Data ingestion and migration of large datasets into a cloud‑based data platform.
• Modernize legacy dataflow pipelines into automated, cloud‑native solutions.
• Maintain high availability and reliability of real‑time data delivery across hybrid environments.
• Monitor, troubleshoot, and optimize data ingestion and routing processes.
• Ensure end‑to‑end data lifecycle management and archival/retrieval processes.
• Support CI/CD, automation, and on‑call operations for dataflow applications.

Skills

Python

Bash

SQL

Linux/Unix

Cloud platforms

Data pipelines

ETL processes

CI/CD tools

Data governance

Troubleshooting

Education

Bachelor’s degree in CS/IS or related field

Tools

Git

Job description

Spatial Front, Inc. is seeking an IDF Dataflow Analyst to support a large‑scale data modernization initiative, migrating legacy systems to a centralized, cloud data platform.

You will join a Dataflow Team serving as the bridge for real‑time, high‑volume data across a complex enterprise environment. The role focuses on building a centralized, real‑time data repository to enable scalable data access, analytics, and future AI/ML capabilities.