AWS Data Engineer

Cynet Systems•Bellevue, WA

About The Position

We are seeking a skilled AWS Data Engineer with a strong background in designing, developing, and optimizing data and processing solutions within AWS environments. The ideal candidate will have extensive experience working with complex AWS ecosystems, understanding workflow and process orchestration, and implementing automated data pipelines. You will be responsible for assessing existing processes, collaborating with stakeholders to define requirements, and designing robust, scalable, and reliable data solutions. This role requires strong technical skills in Python and SQL, a deep understanding of cloud-based data architectures, and excellent communication abilities to translate technical concepts for various audiences.

Requirements

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.
Strong verbal and written communication skills.
6+ years of experience in data engineering or related field.

Nice To Haves

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 architectural judgment and ability to explain technical tradeoffs to non-technical stakeholders.

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.