Data Engineer (Remote) at Jobgether

Colorado Springs, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jul, 26

Salary

0.0

Posted On

26 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Python, SQL, Data pipelines, Cloud infrastructure, AWS, GCP, Azure, Data modeling, Schema design, Data validation, Analytics, Machine learning workflows, Data storage systems, API development

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Systems Engineer - REMOTE. In this role, you will leverage your expertise to work across data pipelines, analytics, and infrastructure. Your contributions will play a pivotal role in turning complex systems into actionable insights that drive our innovative simulation technologies. As a key player in a remote team, you'll design, build, and operate data systems foundational to our analytics capabilities and AI-enabled workflows, ensuring accuracy and performance. This position requires collaboration with engineers and product teams to enhance and optimize data reliability and accessibility, impacting our operations on a global scale. \n Accountabilities Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata. Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay. Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs. Enable scenario comparison, lineage, and traceability across time, versions, and parameter sets. Work with engineers to define data contracts and schemas between the simulation environment and downstream systems. Monitor and improve data reliability, performance, and availability. Requirements 3 - 7 years of professional experience as a Data Engineer or Data Platform Engineer. Strong experience building production data pipelines (batch and/or streaming). Proficiency in Python, SQL, and at least one data processing framework. Experience with cloud-based data infrastructure (AWS, GCP, or Azure). Familiarity with data modeling, schema design, and data validation. Experience working with engineers and analysts. Ability to reason about data as a product, not a byproduct. U.S. Citizenship is mandatory for this position along with willingness and ability to get security clearance. Benefits Fully remote work environment. Opportunity to work with a passionate and innovative team. Access to cutting-edge tools and technologies. Competitive salary and performance-based bonuses. Health and wellness benefits. Professional development opportunities. Flexible working hours. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design, build, and operate scalable data pipelines and storage systems for simulation outputs and telemetry. Collaborate with engineering and product teams to ensure data reliability, accessibility, and performance across AI-enabled workflows.