Data Engineer – AWS

Highbrow LLC; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Data Engineer – AWS at T-Mobile in Bellevue, WA is seeking a hands-on engineer to design and develop data processing solutions in AWS, working across multiple systems to orchestrate workflows at scale.

The role emphasizes Python and SQL, building scalable data pipelines, monitoring, and reliability, with collaboration across technical and business teams to translate objectives into concrete architectural designs.

Qualifications

• Hands-on experience designing and developing data processing solutions in AWS.
• Experience with AWS data, compute, event-driven, and orchestration services.
• Strong Python and/or SQL skills.
• Experience with distributed processing and cloud-based data architectures.
• Strong understanding of dependency management, scheduling, event-based processing, retries, error handling, and failure recovery.
• Experience implementing logging, monitoring, alerting, and observability.

Responsibilities

• Assess existing AWS processes, workflows, integrations, schedules, and dependencies.
• Partner with stakeholders to understand objectives and requirements.
• Translate objectives into technical orchestration and architecture requirements.
• Design approaches to improve orchestration across complex AWS environments.
• Identify opportunities to simplify dependencies, improve concurrency, and reliability.
• Develop and maintain cloud-based data pipelines and automated workflows.
• Create clear technical documentation and architecture recommendations.
• Communicate architecture concepts clearly to stakeholders and leadership.

Skills

AWS

Python

SQL

Data pipelines

Workflow orchestration

Observability

Collaboration

Tools

Apache Airflow

Job description

Data Engineer – AWS (Client: T-Mobile) [Location: Bellevue, WA (On-site)]

Location: Bellevue, WA (On-site)

Job Description

• Strong hands-on experience designing and developing data and processing solutions in AWS.
• Hands-on experience working in complex AWS environments with multiple systems, processes, integrations, and dependencies.
• Strong understanding of workflow and process orchestration concepts.
• Hands-on experience designing, implementing, or optimizing automated workflows and processing pipelines.
• Hands-on experience with relevant AWS data, compute, event-driven, and orchestration services.
• Strong Python and/or SQL skills.
• Hands-on experience with distributed processing and cloud-based data architectures.
• Strong understanding of dependency management, scheduling, event-based processing, retries, error handling, and failure recovery.
• Hands-on experience implementing logging, monitoring, alerting, and operational observability.
• Ability to identify bottlenecks, unnecessary dependencies, failure points, and optimization opportunities.
• Ability to evaluate architectural alternatives and make recommendations based on operational and business requirements.
• Demonstrated ability to translate high-level business objectives into technical requirements and solution designs.
• Strong team orientation and ability to collaborate effectively across technical and business teams.

Preferred Skills

• Experience supporting large-scale enterprise AWS environments.
• Experience with AWS-native workflow and orchestration services.
• Experience with event-driven architectures.
• Experience with Apache Airflow or comparable orchestration platforms.
• Experience with distributed data-processing technologies.
• Familiarity with DevOps, CI/CD, and infrastructure automation.
• Experience with cloud performance and cost optimization.
• Strong troubleshooting and root-cause-analysis capabilities.
• Strong people skills and a collaborative, team-first mindset.
• Ability to build strong working relationships across organizational boundaries.
• Excellent written and verbal communication skills.
• Strong architectural judgment and ability to explain technical tradeoffs to non-technical stakeholders.

Job Responsibilities

• Assess existing AWS processes, workflows, integrations, schedules, and dependencies
• Partner with business and technical stakeholders to understand operational objectives, pain points, and future-state requirements
• Translate those objectives into technical orchestration and architecture requirements
• Design and recommend approaches for improving orchestration across complex AWS environments
• Identify opportunities to simplify dependencies, improve concurrency, reduce processing times, and increase reliability
• Develop and maintain cloud-based data pipelines and automated workflows
• Design appropriate monitoring, alerting, error handling, retry, and recovery capabilities
• Evaluate existing technical designs and recommend improvements based on business value, complexity, cost, scalability, and risk
• Work collaboratively with engineers, architects, application teams, infrastructure teams, and business partners
• Support teammates, share expertise, and contribute constructively to technical discussions and problem-solving
• Create clear technical documentation and architecture recommendations
• Communicate complex architecture and orchestration concepts clearly to business stakeholders and senior leadership