At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.
Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn’t a perk—it’s the standard.
As an 8(a) HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!
Simple Technology Solutions is looking for an Senior Software Engineer (Data Analytics) to add to our team.
Quick Position Overview:
- US Citizenship is required
- Bachelor's Degree is required
- Minimum of 6 years experience in a data analytics role
- Minimum of 3 years experience developing applications leveraging Python and/or NodeJS
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 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
Education and Experience:
Required
- 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
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 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)
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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