Full Stack Engineer

Page Mechanical Group, Inc.; Vienna (VA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A technology solutions provider is seeking a Full Stack Engineer to develop analytics solutions using cloud technologies. This role involves building data pipelines and analytical datasets and requires a master's degree in a relevant field and advanced technical skills. The position offers a hybrid working arrangement with a focus on enhancing business performance through data-driven insights.

Qualifications

• Master's degree in a relevant field or equivalent experience.
• Expert skill in Databricks.
• Advanced skills in Azure SQL, Azure Data Lake, Python, and T-SQL.

Responsibilities

• Provide Data Intelligence and Data Warehousing solutions.
• Design and operationalize data science workflows within Databricks.
• Build and maintain Azure data pipelines using DevSecOps processes.
• Communicate findings effectively.

Skills

Databricks

Azure SQL

Azure Data Lake

Python

T-SQL

ETL tools and techniques

Data warehousing

Change management

Education

Master's degree in Information Systems, Computer Science, Engineering, or related field

Job description

Full Stack Engineer

Location: Vienna, VA, Winchester, VA or Pensacola, FL

Work Arrangement: Hybrid - 3x/week onsite

About This Role

We are seeking a Full Stack Engineer to architect and deliver comprehensive analytics solutions spanning data ingestion, transformation, modeling, and visualization using cloud and big-data technologies. In this role, you will build resilient data pipelines and analytical datasets that support descriptive, diagnostic, and advanced analytics use cases, including data science and forecasting models. You'll write complex SQL and Spark code optimized for scale, governance, and CI/CD deployment, while acting as a technical and analytical expert who independently tackles highly complex problems, leads functional initiatives, and translates raw data into trusted insights that drive business performance and decision-making.

Key Responsibilities

• Provide Data Intelligence and Data Warehousing solutions and support by leveraging project standards and leading data platforms
• Design and operationalize data science workflows within Databricks, including exploratory analysis, feature engineering, and production-ready analytical datasets integrated into CI/CD pipelines
• Build and maintain Azure data pipelines using DevSecOps processes
• Define and build data integration processes for use across the organization
• Build conceptual and logical data models for stakeholders and management
• Work directly with business leadership to understand data requirements and develop solutions that enable effective decision-making and drive business objectives
• Prepare advanced project implementation plans highlighting major milestones and deliverables using standard methods and work planning tools
• Document existing and new processes to develop and maintain technical and non-technical reference materials
• Identify potential issues and risks during analytics project implementation and suggest mitigation strategies
• Own the process of manipulating and merging large datasets and communicate findings effectively
• Perform other duties as assigned

Required Qualifications

• Master's degree in Information Systems, Computer Science, Engineering, or related field, or equivalent combination of education, training, and experience
• Expert skill in Databricks
• Advanced skill in Azure SQL, Azure Data Lake, Azure App Service, Python, and T-SQL
• Experience sourcing, maintaining, and updating data in cloud environments
• Knowledge of and ability to perform basic statistical analysis
• Experience with ETL tools and techniques
• Experience designing and building data pipelines using API ingestion and streaming ingestion methods
• Excellent change management and communication skills
• Strong understanding of data warehousing, data cleaning, data quality, data pipelines, and analytical techniques required for data usage

Equal Opportunity & Compliance

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.

We are committed to employing only candidates who are legally authorized to work in the United States. For compliance with the Immigration Reform and Control Act of 1986, all new employees must complete the Employment Eligibility Verification Form I-9 and provide documentation establishing identity and authorization to work. E-Verify will be used for employment verification as part of the onboarding process.

We value integrity throughout our hiring process. Candidates will be asked to provide documentation confirming employment history, education, and work authorization.