Senior Software Engineer

Summary

Join Simple Technology Solutions as a Senior Software Engineer (Data Analytics) and contribute to the evolution and sustainment of data analytics services for EED enterprise systems. You will support the collection, curation, visualization, and automated reporting of information and insights across various data analytics platforms. This role requires designing, developing, and sustaining data analytics infrastructures, implementing data pipelines, and supporting data management activities. You will also prepare data visualizations and reporting for internal teams and program leadership. The position demands strong experience in modern data architectures, cloud-hosted applications, and DevOps practices. US Citizenship and a Bachelor's degree are required, along with 6+ years of experience in data analytics and 3+ years with Python/NodeJS.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline
• 6+ years of experience in an engineering role related to data analytics
• US Citizenship is required
• Strong experience with modern architectures for data storage, transformation, and governance (i.e. data lakehouse or data mesh)
• Experience with a range of data storage technologies (i.e. Apache Parquet, Apache Iceberg, SQL databases, no-SQL databases)
• Experience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SQS, Step Functions, CloudWatch, Kinesis, Glue, and Athena
• Experience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework
• Experience with infrastructure automation via Terraform or CloudFormation
• Familiarity with DevOps development practices including source code management with Git, CI/CD and automated testing
• Demonstrated experience communicating with technical information, especially as relates to system architecture and design
• 3+ years of experience developing applications leveraging Python and/or NodeJS
• Must be able to work the hours of 8am-5pm Eastern Time regardless of your home location

Responsibilities

• Design, development, evolution, and sustainment of data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics
• Implementing and refining data pipelines for the extract, transform, and load (ETL) of new data streams
• Support data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical
• Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4

Preferred Qualifications

• Experience with Elasticsearch data cluster sustainment and visualization via Kibana
• Experience with tracking and reporting application usage metrics via Google Analytics in an enterprise setting
• Experience providing operational support, including monitoring systems, troubleshooting issues, and implementing bugfixes
• Experience providing responsive customer support via a service desk. Track record of maintaining positive user and customer relationships
• Familiarity with data analytics techniques (statistical analysis and/or AI/ML)