Data Engineer II, Eva Trust Dev Team Mid

D8 LooP; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

AWS Infrastructure Services in Bellevue, WA is seeking a Data Engineer with 3+ years of experience to design and operate large-scale BI data structures. You will work with AWS Redshift, S3, Glue, EMR, Kinesis, and Lambda to build automated pipelines and dashboards, ensure data quality, and optimize cost and performance.

Join a team that moves operational data from manual processes to scalable, self-serve analytics environments.

Qualifications

• 1+ years of developing and operating large-scale data structures for BI analytics.
• Set and enforce data quality, freshness, and monitoring standards with alarms and runbooks.
• SQL experience in developing and operating large-scale data structures for BI analytics.
• Experience with AWS data services like Redshift, S3, Glue, EMR, Kinesis, Lambda, IAM.
• Lead migration of manual, high-maintenance data processes to automated pipelines.
• Cost and performance optimization across AWS data platforms.
• Experience with Spark and streaming data in AWS stack.

Responsibilities

• Migrate manual, high-maintenance data processes to automated pipelines.
• Develop monitored data pipelines and dashboards that update automatically.
• Collaborate across teams to optimize cost and performance while ensuring security.
• Maintain data quality, freshness, and monitoring standards.

Skills

Data modeling

Data quality monitoring

SQL

Airflow orchestration

Dashboards automation

Cost & performance optimization

Leadership

Tools

AWS Redshift

AWS S3

AWS Glue

EMR

Kinesis

Lambda

IAM roles and permissions

Job description

Bellevue, Washington, USA Mid 3+ yrs Data Engineer posted 2 d ago

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

Skills, with evidence

• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience must have
• Set and enforce data quality, freshness, and monitoring standards, including alarms and runbooks must have
• SQL 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience must have
• AWS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions must have not practised here
• Airflow / orchestration Lead the migration of manual, high-maintenance data processes and legacy dashboards to automated, monitored pipelines
• You’ll lead the move of operational data from manual processes to automated pipelines, dashboards that generate themselves, and knowledge Eva can use the moment someone needs it. not practised here
• Cost & performance You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.
• Set and enforce data quality, freshness, and monitoring standards, including alarms and runbooks
• Spark - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Streaming - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions