Remote Data Engineer

Description:

• Work closely with solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation.
• Perform extraction, transformation, and loading of data from various sources using data engineering tools.
• Design and implement data solutions for secure integration across systems.
• Assist in creating database models and architecture design with guidance from data architects.
• Conduct research on emerging technologies related to data sourcing, cleansing, and integration.
• Document solutions through various means like flowcharts, diagrams, and code comments.
• Improve operations by analyzing systems and recommending changes.
• Participate in requirements gathering, solution reviews, and explaining technical complexities in simple terms.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering, software engineering, or similar roles.
• 2+ years of hands-on experience with SQL on various relational database platforms.
• 2+ years of hands-on experience with enterprise ETL/DW tools like Azure Data Factory, Redshift, Informatica, etc.
• Experience with data engineering design and implementation, data modeling, data integration, APIs, reporting, and analytics.
• Proficiency in modern programming languages like Python, C#, JavaScript, etc.
• Familiarity with cloud platforms such as AWS, Azure, GCP.
• Knowledge of Docker for containerization and Kubernetes for orchestration is a plus.
• Detail-oriented, quality-focused, collaborative team player with a progressive mindset.

Benefits:

• Opportunity to contribute to transforming the agency into a data-driven culture.
• Work on a wide variety of modeling and data engineering projects.
• Independence in completing project tasks with minimal guidance.
• Collaborate with a team to advance agency priorities and mission.
• Remote work option available.
• Competitive compensation package.