Senior Software Engineer, Data Analytics

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Simple Technology Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Simple Technology Solutions is a HUBZone small business that specializes in IT modernization and digital experience for government operations. They focus on digitalizing government processes using cloud-native technologies and Agile practices to deliver full-stack digital solutions. The company emphasizes security, scalability, and interoperability in its enterprise approach. They work on enhancing cloud environments, migrating legacy IT systems, and promoting DevSecOps practices. Additionally, Simple Technology Solutions develops enterprise data management strategies using machine learning and AI, modernizes applications, and provides cloud contact center services. They primarily serve federal government agencies, particularly in law enforcement and public safety missions.

📋 Description

• Design, develop, evolve, and sustain data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics • Implement and refine ETL data pipelines for new data streams • Support data management activities including retention, curation, catalog management, and schema development or extensions • Automate data management wherever practical • Prepare data visualizations and reporting for internal application development teams and program leadership using Kibana, AWS QuickSight, and Google Analytics 4 • Support the evolution and sustainment of data analytics services for EED enterprise systems and supporting infrastructure • Support collection, curation, visualization, and automated reporting of information and insights across cloud-hosted services and end-user engagement platforms

🎯 Requirements

• US Citizenship is required • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline • Minimum of 6 years of experience in an engineering role related to data analytics • Minimum of 3 years of experience developing applications leveraging Python and/or NodeJS • Strong experience with modern architectures for data storage, transformation, and governance, such as data lakehouse or data mesh • Experience with data storage technologies including Apache Parquet, Apache Iceberg, SQL databases, and 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 practices including Git, CI/CD, and automated testing • Demonstrated experience communicating technical information, especially regarding system architecture and design • Must be able to work 8am–5pm Eastern Time regardless of home location

🏖️ Benefits

• Flexible work arrangements • Continuous learning and professional growth opportunities • Mentorship and knowledge-sharing opportunities • Special incentives for team members living in qualified HUBZones • Equal employment opportunity and merit-based employment practices