Senior Data Engineer I

Summary

Join MetroStar as a Sr. Data Engineer I and take a leadership role in architecting, building, and optimizing our data pipelines, data warehouses, and data lakes. You will leverage your deep technical expertise to develop scalable and reliable data solutions. Collaborate with cross-functional teams, including data scientists and analysts. This role requires a Secret security clearance, a Bachelor's or Master's degree, and 5+ years of experience in data engineering. You will lead the design and implementation of data pipelines, develop ETL/ELT processes, and optimize data infrastructure. MetroStar offers a generous benefits package, professional growth opportunities, and valuable time to recharge.

Requirements

• Possess an active U.S. Government issued Secret security clearance
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Minimum of 5 years of professional experience in data engineering, with a proven track record of designing and implementing robust data solutions
• Expertise in building and maintaining data pipelines using tools such as Talend
• Experience implementing data integration within tools such as Pentaho
• Strong programming skills in languages such as Python, Java, Scala, or SQL for data processing and manipulation
• Proficiency in working with CI/CD (e.g. Jenkins) and containerization technologies (e.g., Docker, Kubernetes) to deploy data platforms such as Talend and Pentaho
• Experience with data warehousing solutions and data modeling concepts
• Familiarity with version control systems (e.g., Git) and collaborative development practices
• Excellent problem-solving skills and the ability to tackle complex technical challenges
• Strong communication skills to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders

Responsibilities

• Lead the design and implementation of complex, end-to-end data pipelines to collect, process, and transform data from various sources into usable formats
• Develop and maintain ETL/ELT processes to ensure data integrity, accuracy, and availability for downstream applications
• Collaborate with data scientists and analysts to understand data requirements and assist in the creation of data models, dashboards, and visualizations
• Optimize data infrastructure for performance, scalability, and cost-effectiveness, making use of both traditional relational databases and modern big data technologies
• Ensure data security and compliance with relevant data protection regulations throughout the data lifecycle
• Identify and resolve data-related issues, troubleshoot performance bottlenecks, and provide timely support to maintain data operations
• Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous learning

Benefits

• A generous benefits package
• Professional growth
• Valuable time to recharge