Senior Software Engineer (Data Analytics)
Job Description
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The Role
We are looking for a Senior Software Engineer (Data Analytics) who is a key development team member supporting the evolution and sustainment of data analytics services for EED enterprise systems and supporting infrastructure. In this role, the Senior Software Engineer (Data Analytics) will support the collection, curation, visualization, and automated reporting of information and insights across a suite of data analytics platforms spanning cloud-hosted services (Cloud Metrics) and end-user community engagement (Google Analytics).
The Senior Software Engineer (Data Analytics) at STS will:
- 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 a 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, and Google Analytics 4
Education and Experience:
Required
- A 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 (e.g., data lakehouse or data mesh)
- Experience with a range of data storage technologies (e.g., Apache Parquet, Apache Iceberg, SQL databases, NoSQL databases)
- Experience developing cloud-hosted applications 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
Desired Skills/Experience
- 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 bug fixes
- 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)
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Simple Technology Solutions
View Company ProfileSimple Technology Solutions (operating at simpletechnology.io) is a federal-focused digital strategy consultancy engineered for mission-critical public safety and law enforcement agencies. Founded in 2013, the company specializes in transforming legacy systems and modernizing government operations through cloud-native solutions. Unlike traditional IT vendors, Simple Technology Solutions treats data as its primary asset, leveraging advanced partnerships with AWS, Azure, and Google Cloud to deliver secure, scalable infrastructure. Under the hood, its DevSecOps-driven approach ensures seamless migration of legacy mission applications while integrating cutting-edge analytics and agile development methodologies. This allows federal and state agencies to enhance operational efficiency, reduce downtime, and improve decision-making with real-time insights. Backed by a self-sustaining revenue model—reaching an estimated $5.2M in 2018—Simple Technology Solutions has grown organically without external venture capital, focusing exclusively on government sector transformation.
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