{"schemaVersion":"jobsearcher.job.v1","id":"380465b65976060c8443c090","url":"https://jobsearcher.com/jobs/380465b65976060c8443c090","canonicalUrl":"https://jobsearcher.com/jobs/380465b65976060c8443c090","title":"Senior Software Engineer (Data Analytics)","description":"Job Description\n\nAt 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.\r\nOur 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.\r\nAs 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!\r\nSimple Technology Solutions is looking for anSenior Software Engineer (Data Analytics)to add to our team.\r\nQuick Position Overview:\r\nUS Citizenship is required\r\nBachelor's Degree is required\r\nMinimum of 6 years experience in a data analytics role\r\nMinimum of 3 years experience developing applications leveraging Python and/or NodeJS\r\nThe Role:\r\nWe are looking for aSenior 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).\r\nThe Senior Software Engineer (Data Analytics) at STS will:\r\nDesign, development, evolution, and sustainment of data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics\r\nImplementing and refining data pipelines for the extract, transform, and load (ETL) of new data streams\r\nSupport data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical.\r\nPreparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4\r\nEducation and Experience:\r\nRequired\r\nBachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline\r\n6+ years of experience in an engineering role related to data analytics.\r\nUS Citizenship is required\r\nStrong experience with modern architectures for data storage, transformation, and governance (i.e. data lakehouse or data mesh)\r\nExperience with a range of data storage technologies (i.e. Apache Parquet, Apache Iceberg, SQL databases, no-SQL databases)\r\nExperience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SQS, Step Functions, CloudWatch, Kinesis, Glue, and Athena\r\nExperience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework.\r\nExperience with infrastructure automation via Terraform or CloudFormation\r\nFamiliarity with DevOps development practices including source code management with Git,CI/CD and automated testing.\r\nDemonstrated experience communicating with technical information, especially as relates to system architecture and design.\r\n3+ years of experience developing applications leveraging Python and/or NodeJS\r\nMust be able to work the hours of 8am-5pm Eastern Time regardless of your home location\r\nDesired Skills/Experience\r\nExperience with Elasticsearch data cluster sustainment and visualization via Kibana\r\nExperience with tracking and reporting application usage metrics via Google Analytics in an enterprise setting\r\nExperience providing operational support, including monitoring systems, troubleshooting issues, and implementing bugfixes.\r\nExperience providing responsive customer support via a service desk. Track record of maintaining positive user and customer relationships.\r\nFamiliarity with data analytics techniques (statistical analysis and/or AI/ML)\r\nSTS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.\r\nEmployment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.\r\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence. ---Applicants may request removal from our applicant database, or specific information about how the data is used by contacting .","company":"Simple Technology Solutions","rawCompany":"simple technology solutions","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-09-13T01:07:58.489Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer (Data Analytics)","description":"Job Description\n\nAt 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.\r\nOur 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.\r\nAs 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!\r\nSimple Technology Solutions is looking for anSenior Software Engineer (Data Analytics)to add to our team.\r\nQuick Position Overview:\r\nUS Citizenship is required\r\nBachelor's Degree is required\r\nMinimum of 6 years experience in a data analytics role\r\nMinimum of 3 years experience developing applications leveraging Python and/or NodeJS\r\nThe Role:\r\nWe are looking for aSenior 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).\r\nThe Senior Software Engineer (Data Analytics) at STS will:\r\nDesign, development, evolution, and sustainment of data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics\r\nImplementing and refining data pipelines for the extract, transform, and load (ETL) of new data streams\r\nSupport data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical.\r\nPreparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4\r\nEducation and Experience:\r\nRequired\r\nBachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline\r\n6+ years of experience in an engineering role related to data analytics.\r\nUS Citizenship is required\r\nStrong experience with modern architectures for data storage, transformation, and governance (i.e. data lakehouse or data mesh)\r\nExperience with a range of data storage technologies (i.e. Apache Parquet, Apache Iceberg, SQL databases, no-SQL databases)\r\nExperience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SQS, Step Functions, CloudWatch, Kinesis, Glue, and Athena\r\nExperience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework.\r\nExperience with infrastructure automation via Terraform or CloudFormation\r\nFamiliarity with DevOps development practices including source code management with Git,CI/CD and automated testing.\r\nDemonstrated experience communicating with technical information, especially as relates to system architecture and design.\r\n3+ years of experience developing applications leveraging Python and/or NodeJS\r\nMust be able to work the hours of 8am-5pm Eastern Time regardless of your home location\r\nDesired Skills/Experience\r\nExperience with Elasticsearch data cluster sustainment and visualization via Kibana\r\nExperience with tracking and reporting application usage metrics via Google Analytics in an enterprise setting\r\nExperience providing operational support, including monitoring systems, troubleshooting issues, and implementing bugfixes.\r\nExperience providing responsive customer support via a service desk. Track record of maintaining positive user and customer relationships.\r\nFamiliarity with data analytics techniques (statistical analysis and/or AI/ML)\r\nSTS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.\r\nEmployment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.\r\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence. ---Applicants may request removal from our applicant database, or specific information about how the data is used by contacting .","datePosted":"2026-09-13T01:07:58.489Z","dateModified":"2026-09-13T01:07:58.489Z","hiringOrganization":{"@type":"Organization","name":"Simple Technology Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"380465b65976060c8443c090"},"url":"https://jobsearcher.com/jobs/380465b65976060c8443c090"}}