
51 - 200 employees
đïž Government
đ€ Artificial Intelligence
Government âą Cloud âą Artificial Intelligence
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.
đ„ 24 minutes ago
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51 - 200 employees
đïž Government
đ€ Artificial Intelligence
Government âą Cloud âą Artificial Intelligence
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.
âą Develop new ETL pipelines and data ingestion processes alongside senior engineers using AWS Glue (Spark-based, PySpark), MWAA (Airflow), Lambda, and SNS âą Integrate the agency's ETL Common Library into Glue jobs for standardized orchestration, error handling, metadata recording, and SNS notifications for all success and error job events âą Ingest structured and semi-structured datasets (CSV, XML, JSON, Avro, pipe-delimited) into S3 landing, raw, and curated zones using Apache Iceberg tables âą Configure static ETL metadata in the centralized PostgreSQL metadata store; ensure dynamic metadata records job status and timestamps for all key execution steps âą Monitor assigned production jobs and participate in operations support rotations âą Ensure ETL Load Reports are populated in real-time and ETL Gap Reports are updated on a weekly basis âą Build and maintain materialized views and semantic layer objects in Trino and Athena to ensure optimized query performance and consistent business logic âą Produce and maintain required documentation for each assigned dataset: Business Requirements, ETL Design Documents, Data Models, Data Dictionaries, Mapping Documents, Deployment Documents, O&M Guides, and ETL Test Plans âą Write unit and integration tests achieving the 90% minimum code coverage threshold; complete security scans at least once per sprint âą Deploy ETL resources using CloudFormation templates through the agency CICD pipeline âą Support transition of ETL jobs from other agency teams and disaster recovery exercises
âą US Citizenship is required âą Bachelor's Degree is required âą minimum of 3-5 years' position related experience is required âą Hands-on experience with Python (PEP 8), PySpark, and SQL for ETL pipeline development âą Experience with AWS services including Glue, S3, MWAA (Airflow), Lambda, SNS, and SQS âą Familiarity with Apache Iceberg, Parquet, and ORC file formats and S3 data lake zone concepts âą Experience with PostgreSQL and basic familiarity with Redshift or Oracle âą Familiarity with Trino or Athena for query and semantic layer development âą Experience with CloudFormation, GitHub branching workflows, and CI/CD-integrated deployments âą Ability to produce clear ETL documentation including data models (Mermaid format) and data dictionaries âą Understanding of ETL metadata concepts including static and dynamic metadata, load reports, and gap reports âą Experience in agile development environments with sprint-based delivery âą Experience supporting IV&V and/or User Acceptance Testing (UAT) processes in a federal or technical program environment âą Experience with automated testing frameworks; ability to write unit and integration tests achieving defined code coverage thresholds âą Familiarity with FISMA, NIST 800-53, and OWASP ASVS Level 2 is a plus âą Must be able to work 8am-5pm Eastern Time regardless of home location âą Active federal public trust suitability determination or ability to obtain one required
âą Flexible work arrangements âą Continuous learning âą Professional development âą Special incentives for team members living in qualified HUBZones
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