Modern Technology Solutions, Inc.
Data Engineer - Journeyman
Modern Technology Solutions, Inc., Colorado Springs, Colorado, United States, 80509
Note: This is a remote position with the ideal candidate residing near one of our office sites in Colorado Springs, CO., Dayton, OH., or Huntsville, AL.
Required Experience Data Warehousing & Analytics (Core Requirement): Advanced proficiency in SQL with extensive experience in cloud data warehousing. Must have deep knowledge of data modeling, schema design, and query optimization. GCP Preference: Significant, hands‑on experience with Google BigQuery (partitioning, clustering, BQ scripting, cost optimization) is essential.
Modern Data Pipeline Expertise (Must-Have Foundation) Building, deploying, and scaling complex data pipelines using at least one of the following foundational technologies: Orchestration: Deep expertise in Apache Airflow (designing, deploying, scaling, and managing complex DAGs). GCP Preference: Hands‑on experience with Google Cloud Composer. Processing: Proven ability to build and optimize robust, high‑throughput batch and streaming data pipelines using Apache Beam. GCP Preference: Direct experience managing Beam pipelines at scale using Google Cloud Dataflow. (Note: This role offers the flexibility to architect solutions and select the appropriate services to meet project requirements).
Relational Database Expertise (Must-Have Foundation) Solid foundation and practical experience with RDBMS architecture, management, and optimization, specifically with PostgreSQL. GCP Preference: Familiarity with managed database services, particularly Google Cloud SQL (for PostgreSQL or MySQL), is a significant advantage.
Core Programming & Infrastructure Fluency in Python (preferred) or Java for data pipeline development. Strong understanding of CI/CD, Git, and Infrastructure-as-Code (e.g., Terraform).
Cloud Architecture & GCP (Highly Desirable) 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.
Containerization & Kubernetes (Highly Desirable) Understanding of container concepts (Docker) and practical experience with Kubernetes, particularly Google Kubernetes Engine (GKE).
ML Engineering Exposure (Plus) Experience supporting machine learning workflows, including data preparation, feature engineering, and operationalizing data pipelines for ML models. GCP Preference: Any exposure to Google Cloud Vertex AI (Pipelines, Feature Store, Training) is a major plus.
Qualifications and Education Requirements
Bachelor's or master's degree in computer science, Data Science, or a related field.
5-8 years 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.
Travel Occasional travel to MTSI offices and events throughout country.
Clearance Must have a Secret Clearance; US Citizenship required.
Pay & Benefits The pay range for this position in Colorado is $105,000/year to $125,000/year; however, base pay offered may vary depending on established government contract rates, job‑related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via MTSI's internal or external careers site.
Starting PTO accrual of 20 days PTO/year + 10 holidays/year
Flexible schedules
6% 401k match with immediate vesting up to $9k annually
Semi-annual bonus eligibility (July and December)
Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
Up to $10,000 in annual educational reimbursement
Other company funded benefits, like life and disability insurance
Optional zero deductible Blue Cross/Blue Shield health insurance plan
Interesting Work: Our co‑workers support some of the most important and critical programs to our national defense and security.
Values: Our first core value is that employees come first. We challenge our co‑workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
100% Employee Owned: We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town‑hall meetings three times a year.
Great Benefits - Most Full‑Time Staff Are Eligible for: (benefits list above)
Track Record of Success: We have grown every year since our founding in 1993.
About MTSI Modern Technology Solutions, Inc. (MTSI) is a 100% employee‑owned engineering services and solutions company that provides high‑demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance. MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit www.mtsi-va.com.
MTSI embraces nine core values including our first core value of Employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.
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Required Experience Data Warehousing & Analytics (Core Requirement): Advanced proficiency in SQL with extensive experience in cloud data warehousing. Must have deep knowledge of data modeling, schema design, and query optimization. GCP Preference: Significant, hands‑on experience with Google BigQuery (partitioning, clustering, BQ scripting, cost optimization) is essential.
Modern Data Pipeline Expertise (Must-Have Foundation) Building, deploying, and scaling complex data pipelines using at least one of the following foundational technologies: Orchestration: Deep expertise in Apache Airflow (designing, deploying, scaling, and managing complex DAGs). GCP Preference: Hands‑on experience with Google Cloud Composer. Processing: Proven ability to build and optimize robust, high‑throughput batch and streaming data pipelines using Apache Beam. GCP Preference: Direct experience managing Beam pipelines at scale using Google Cloud Dataflow. (Note: This role offers the flexibility to architect solutions and select the appropriate services to meet project requirements).
Relational Database Expertise (Must-Have Foundation) Solid foundation and practical experience with RDBMS architecture, management, and optimization, specifically with PostgreSQL. GCP Preference: Familiarity with managed database services, particularly Google Cloud SQL (for PostgreSQL or MySQL), is a significant advantage.
Core Programming & Infrastructure Fluency in Python (preferred) or Java for data pipeline development. Strong understanding of CI/CD, Git, and Infrastructure-as-Code (e.g., Terraform).
Cloud Architecture & GCP (Highly Desirable) 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.
Containerization & Kubernetes (Highly Desirable) Understanding of container concepts (Docker) and practical experience with Kubernetes, particularly Google Kubernetes Engine (GKE).
ML Engineering Exposure (Plus) Experience supporting machine learning workflows, including data preparation, feature engineering, and operationalizing data pipelines for ML models. GCP Preference: Any exposure to Google Cloud Vertex AI (Pipelines, Feature Store, Training) is a major plus.
Qualifications and Education Requirements
Bachelor's or master's degree in computer science, Data Science, or a related field.
5-8 years 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.
Travel Occasional travel to MTSI offices and events throughout country.
Clearance Must have a Secret Clearance; US Citizenship required.
Pay & Benefits The pay range for this position in Colorado is $105,000/year to $125,000/year; however, base pay offered may vary depending on established government contract rates, job‑related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via MTSI's internal or external careers site.
Starting PTO accrual of 20 days PTO/year + 10 holidays/year
Flexible schedules
6% 401k match with immediate vesting up to $9k annually
Semi-annual bonus eligibility (July and December)
Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
Up to $10,000 in annual educational reimbursement
Other company funded benefits, like life and disability insurance
Optional zero deductible Blue Cross/Blue Shield health insurance plan
Interesting Work: Our co‑workers support some of the most important and critical programs to our national defense and security.
Values: Our first core value is that employees come first. We challenge our co‑workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
100% Employee Owned: We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town‑hall meetings three times a year.
Great Benefits - Most Full‑Time Staff Are Eligible for: (benefits list above)
Track Record of Success: We have grown every year since our founding in 1993.
About MTSI Modern Technology Solutions, Inc. (MTSI) is a 100% employee‑owned engineering services and solutions company that provides high‑demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance. MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit www.mtsi-va.com.
MTSI embraces nine core values including our first core value of Employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.
#HYBRID #MTSI #LI-MS1
#J-18808-Ljbffr