Simple Technology Solutions - Senior Data Engineer

• Bachelor's degree or higher in Computer Science, Information Systems, Data Engineering, or a related field • 6+ years of hands-on data engineering experience with strong expertise in AWS Glue (Spark-based), PySpark, and Python (PEP 8) • Direct experience building large-scale ETL pipelines on AWS using S3, Glue, MWAA (Airflow), EMR, Lambda, SNS, SQS, EventBridge, and Step Functions in a FedRAMP-authorized environment • Experience with Apache Iceberg, Parquet, ORC, and Avro file formats and multi-zone data lake architectures • Experience with PostgreSQL, Redshift, and Oracle; familiarity with NoSQL, knowledge bases, and vector stores • Experience with Trino, Athena, and Hive for semantic layer and query layer development • Experience parsing and ingesting large-volume XML datasets with schema evolution handling using PySpark • Proficiency with CloudFormation (IaC), GitHub branching workflows, CI/CD pipelines, and AWS Service Catalog-based deployments • Demonstrated ability to produce complete ETL documentation: design documents, data models (Mermaid format), data dictionaries, mapping documents, O&M guides, test plans, and IV&V questionnaires • Experience with static and dynamic ETL metadata management using PostgreSQL • Knowledge of Zero Trust Architecture, FISMA, NIST 800-53, and OWASP ASVS Level 2 • Experience in agile federal environments with quarterly PI planning and 2-week sprints • Familiarity with legacy ETL tools (Hadoop, Perl, Bash) is a plus • Must be able to work 8am-5pm Eastern Time regardless of home location • Active federal public trust suitability determination or ability to obtain one required • STS 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.