Analytics Data Engineer

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

This position is responsible for analyzing business and technical processes to formulate and develop new and modified business processing systems. Represents the business unit to define requirements and business cases for technology developments. Determines system requirements, such as program functions, output requirements, input data acquisition, and system techniques and controls. Performs activities which involve the exercise of independent judgment and discretion about matters of significance.

DUTIES AND RESPONSIBILITIES

• Design, develop, and optimize data pipelines and workflows to support analytics and reporting needs.
• Implement and maintain scalable data architectures, ensuring efficient data integration and processing.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Develop and maintain data models to support business intelligence and analytics initiatives.
• Ensure data quality, integrity, and security across all data processes.
• Monitor and troubleshoot performance issues in data pipelines and analytics systems.
• Stay updated on industry trends and emerging technologies to continuously improve data engineering practices.
• Additional Functions Other duties as assigned or required.
• We operate on a 9x80 schedule with every other Friday off.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

• Typically requires a Bachelors degree in Information Technology or related field and five or more years progressive experience in programming and development. Equivalent professional experience may be substituted in lieu of education.
• Proven experience in data warehouse development, data engineering, analytics, or related fields.
• Proficiency in Azure Synapse Data Flow and other Azure data services (e.g., Azure Data Factory, Azure SQL).
• Strong expertise in data warehouse and data modeling techniques (e.g., star schema, snowflake schema) and database design.
• Solid understanding of SQL and other query languages.
• Familiarity with programming languages for data engineering (e.g., Python, Scala, or Java).
• Knowledge of cloud-based data solutions and services (e.g., Azure).
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Must be customer focused and able to work on a self-initiated basis or in a team environment and able to work extended hours and travel as required.

Desired Skills:

• Familiarity with SAP data structures, tables, and processes.
• Experience working with SAP data sources for analytics and reporting.
• Knowledge of big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Understanding of machine learning pipelines and how to prepare data for AI/ML models.
• Strong knowledge of data statistics, including experience applying statistical methods to analyze, interpret, and visualize data trends (e.g., regression analysis, hypothesis testing, time series analysis).
• Experience with visualization tools (e.g., Power BI, Tableau) and integration with data pipelines.
• Knowledge of DevOps practices for data engineering, including CI/CD pipelines and version control.