AWS Data Engineer – Full Time – ON-SITE

Job Overview

logoTitle: AWS Data Engineer Location: Bellevue, WA(Onsite)Duration: Full Time
BackgroundWe developed a custom internal application leveraging AWS for a very large organization. We work with other vendors to constantly improve and enhance features. The software engineer that gets hired will work with the existing team members who have been on the project for years. The software engineer is responsible for supporting the current IT projects underway by developing new features, improving existing ones, sometimes in quick iterations until we build what works best for our customers. You will ensure that our existing services are maintained and that we continue to move toward scalable solution. You must enjoy working on complex software systems in a customer-centric environment and be passionate not only about building good software but also ensuring that same software achieves its goals in operational reality.
ResponsibilitiesCollaborate with internal teams to develop cloud capabilities that align with tech business requirementsBuild resilient, scalable, and robust clouds solutions that meet technical and security needs for applicationsInstallation, configuration, administration and automation of data infrastructure in AWS CloudInterface with development and operations teams for database requirementsSupport multiple system environments for development, testing, and production application releasesIdentify and implement process and infrastructure improvements in various database aspectsCollaborate with a talented team to improve our current website, ensuring seamless integration with both new and existing systems.Contribute to the back-end as needed, ensuring integration with cloud-based services and maintaining system reliability.Work with cloud services, particularly AWS, utilizing CDK for infrastructure as code.Implement and manage CI/CD pipelines and ensure robust deployment practices.Create/update Data.net jobs to extract other teams data and load it to our Redshift cluster to process loaded data for QuickSight DashboardsCreate/update glue jobs to pull data via APIs from various data sources like BIM360, Tokenflex, Asana, Workato, Workdocs and store/process the data in the Redshift cluster for QuickSight DashboardsPipeline/CDK – Infrastructure/code deployment for the AWS services.Migration and refactoring existing Pipeline/CDK/Code packagesMigrate Glue Jobs to ECS, AirFlow or other AWS servicesUtilize GenAI/Machine Learning/Amazon Bedrock to provide AI services for data we have in Redshift
Minimum QualificationsBachelor’s degree in IT related field such as Information Technology, Computer Science, Information Systems, or a related field, or equivalent experienceGood understanding of agile scrum from experienceAbility to work independently and collaboratively in a fast-paced environmentStrong problem-solving skills and attention to detailA consultant’s mindset, adaptable and eager to acquire new skillsStrong communication skills and the ability to work cross-functionally to align stakeholders on the goals and deliverablesStrong working knowledge of AWS Cloud Development (experience with ECS, RDS, Lambda, SQS, and SNS is a plus)
Desired QualificationsExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsExperience in Statistical Analysis packages such as R, SAS and MATLABAWS Certification: AWS Certified Solutions Architect or AWS Certified Data Analytics Specialty.Experience with BI tools like Tableau or QuickSight.Expertise in data visualization principles and best practices.

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