Modern Technology Solutions, Inc. (MTSI) · 20 hours ago
Data Engineer - Journeyman
Modern Technology Solutions, Inc. (MTSI) is seeking a Data Engineer with expertise in data warehousing and analytics. The role involves building, deploying, and scaling complex data pipelines while utilizing various technologies, particularly within the Google Cloud Platform.
Information Technology
Responsibilities
Advanced proficiency in SQL with extensive experience in cloud data warehousing
Deep knowledge of data modeling, schema design, and query optimization
Demonstrable expertise in building, deploying, and scaling complex data pipelines using foundational technologies
Deep expertise in Apache Airflow (designing, deploying, scaling, and managing complex DAGs)
Proven ability to build and optimize robust, high-throughput batch and streaming data pipelines using Apache Beam
Solid foundation and practical experience with RDBMS architecture, management, and optimization, specifically with PostgreSQL
Fluency in Python (preferred) or Java for data pipeline development
Broad experience in architecting, building, and managing solutions on a major cloud platform, with a strong preference for Google Cloud Platform (GCP)
Understanding of container concepts (Docker) and practical experience with Kubernetes, particularly Google Kubernetes Engine (GKE)
Experience supporting machine learning workflows, including data preparation, feature engineering, and operationalizing data pipelines for ML models
Qualification
Required
Advanced proficiency in SQL with extensive experience in cloud data warehousing
Deep knowledge of data modeling, schema design, and query optimization
Significant, hands-on experience with Google BigQuery (partitioning, clustering, BQ scripting, cost optimization)
Demonstrable expertise in building, deploying, and scaling complex data pipelines using at least one of the following foundational technologies
Deep expertise in Apache Airflow (designing, deploying, scaling, and managing complex DAGs)
Proven ability to build and optimize robust, high-throughput batch and streaming data pipelines using Apache Beam
Solid foundation and practical experience with RDBMS architecture, management, and optimization, specifically with PostgreSQL
Fluency in Python (preferred) or Java for data pipeline development
Strong understanding of CI/CD, Git, and Infrastructure-as-Code (e.g., Terraform)
Bachelor's or master's degree in computer science, Data Science, or a related field
5-8 years of experience of hands-on experience in data engineering, demonstrating a clear progression in designing, building, and maintaining scalable data-intensive systems
Demonstrated ability to communicate complex data issues to both technical and non-technical stakeholders
Must have a Secret Clearance; US Citizenship required
Preferred
Hands-on experience with Google Cloud Composer
Direct experience managing Beam pipelines at scale using Google Cloud Dataflow
Familiarity with managed database services, particularly Google Cloud SQL (for PostgreSQL or MySQL)
Broad experience in architecting, building, and managing solutions on a major cloud platform, with a strong preference for Google Cloud Platform (GCP) beyond just its data services
Understanding of container concepts (Docker) and practical experience with Kubernetes, particularly Google Kubernetes Engine (GKE)
Experience supporting machine learning workflows, including data preparation, feature engineering, and operationalizing data pipelines for ML models
Any exposure to Google Cloud Vertex AI (Pipelines, Feature Store, Training)
Benefits
Full range of medical, financial, and other benefits
Company
Modern Technology Solutions, Inc. (MTSI)
Modern Technology Solutions, Inc.
Funding
Current Stage
Late StageRecent News
Washington Technology
2025-11-08
Google Patent
2025-04-04
Google Patent
2025-04-04
Company data provided by crunchbase