Data Engineer, Engineering Analytics

About the Role

Key Responsibilities

• Implement data engineering solutions, e.g., locate and extract data from a variety of sources for use in reporting, analysis, and statistical modeling to drive continuous improvement
• Practice good software engineering techniques, e.g., Git, scrum, branching, code reviews, spikes
• Execute the data engineering roadmap
• Partner with Information Technology to optimize and enhance the database environment for optimal efficiency and best practices
• Leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis to satisfy the business' needs
• Interface with business unit leaders to develop and maintain internal customer relationships
• Practice safety-conscious environment resulting in employee safety and well-being

Requirements

• Bachelor's degree in Computer Science, Information Systems, or equivalent combination of education and experience
• 3+ years' experience working as a data engineer
• Proficiency in SQL (CTE, window functions, temporal data)
• Proficiency in Python and data-focused packages, e.g., Pandas, Numpy
• Proficiency with software development tools such as Git, IDEs, Swagger, CI/CD
• Experience building efficient, ETL/ELT processes using industry leading tools such as Informatica, Talend, Spark etc.
• Possesses a high school diploma, GED, or high school equivalency
• Is at least 18 years of age and has authorization to work in the United States

Nice to Have

• Working knowledge of data science/machine learning best practices and tools
• Working knowledge of AWS cloud computing tools
• Working knowledge of API Consumption preferred
• Familiarity with nosql databases and distributed databases
• Strong written, oral communication, and interpersonal skills
• Strong project management, organizational, and prioritization skills