Data Engineer - Senior

Modern Technology Solutions

Huntsville, AL

Full Time

Senior

14 days ago

Job Description

About the Role

The ideal candidate plays a critical role in designing, building, and maintaining data pipelines and infrastructure within an Azure environment. This position is responsible for transforming raw data into actionable insights, ensuring data quality, and optimizing data workflows to support analytics initiatives across the organization. Note, this is a remote position with the ideal candidate residing near one of our office sites in Colorado Springs, CO., Dayton, OH., Alexandria, VA., or Huntsville, AL. U.S. Citizenship is required.

Key Responsibilities

Design and implement efficient data models for structured and unstructured data.
Optimize data storage strategies, including partitioning and indexing, to improve query performance and reduce costs.
Ensure pipelines are optimized for performance, scalability, and reliability to handle large-scale datasets with integrated security measures, such as encryption, authentication, and automated vulnerability scanning.
Work closely with DevSecOps engineers, data scientists, analysts, and business stakeholders to translate business requirements into technical solutions ensuring that data engineering processes align with organizational security policies.
Lead the migration of on-premises data to Microsoft Azure cloud environments, maintaining clear documentation of data pipelines, and governance processes for sustainability and knowledge transfer.
Track the performance of data pipelines and workflows, identify bottlenecks, troubleshoot issues, and implement optimizations to improve data processing efficiency and reduce downtime.

Requirements

Expertise in Azure services like Azure Synapse, OneLake, and Data Factory for building scalable data pipelines.
Knowledge of Azure security practices, including data encryption, access control, and compliance with data governance frameworks.
Experience with DevSecOps practices, including security automation, vulnerability management, and secure coding standards.
Proficiency in programming languages (e.g., Python, SQL, Java) and familiarity with data modeling tools such as Cameo, EASparx, ETL processes, and cloud platforms (like Azure or AWS).
Proven experience in integrating data from various sources into unified data models, supporting efficient data flow and accessibility, with an understanding of medallion architecture (Bronze, Silver, Gold layers) for organizing data in Azure.
Demonstrated experience with UAF, DoDAF, or other architecture frameworks and related tools.
Solid understanding of data modeling, data warehousing concepts, and data governance practices.
Ability to analyze complex data sets and derive actionable insights.
Minimum 5 years of experience; 8 years preferred.
Ability to communicate complex data issues to both technical and non-technical stakeholders.

Nice to Have

Familiarity with Cloud providers (AWS, Google, etc.), Databricks, or other industry data platforms.

Qualifications

Bachelor's or master's degree in computer science, Data Science, or a related field.

Working at Modern Technology Solutions

MTSI embraces nine core values including our first core value of Employees come first. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military/veteran status, disability, or any other characteristics protected by law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.

Apply Now