Data Engineer at Cognizant in California

Summary: Cognizant is a company committed to flexibility and work-life balance, and they are seeking a Data Engineer to design and maintain data pipelines that power their systems. The role involves building Python ETL processes, crafting SQL queries, and collaborating with data science and business intelligence teams to develop scalable data models and support advanced algorithms. Responsibilities: - Build and maintain Python ETL pipelines and write efficient SQL to ensure seamless data flow across systems - Develop infrastructure that supports research, reporting, and machine learning initiatives - Collaborate with data science and business intelligence teams to design data models, streamline workflows, and enhance customer lifecycle and retention models - Model front‑end and back‑end data sources to create a comprehensive view of user flows and enable powerful analysis - Partner with data science teams to support the development of complex algorithms that uncover unique insights - Use agile development practices to iteratively improve back‑end systems and processes - Advocate for best practices, process documentation, and continuous learning across the team - Troubleshoot technical issues, triage operational challenges, and recommend improvements based on observations - Report project status, adhere to timelines, and serve as a conduit between technical and business stakeholders Required Qualifications: - Equivalent practical experience: 1–3 years of professional experience in data engineering, analytics, or a related field - Strong expertise in Python, SQL, and ETL pipeline development - Solid understanding of mathematical and statistical concepts, with curiosity and creativity to explore data deeply - Experience building data models, pipelines, and algorithms for research, reporting, and machine learning - Excellent oral and written communication skills, with the ability to explain complex data trends to non‑technical stakeholders - Familiarity with agile software development processes and iterative improvement - Ability to operate effectively in a fast‑paced, evolving environment with minimal supervision - A self‑starter mindset, openness to new ideas, and willingness to embrace change and continuous learning - Passion for technology and data, with a drive to maximize the company's ability to leverage insights Preferred Qualifications: - Bachelor's degree in computer science, Engineering, Mathematics, or a related field is preferred Required Skills: Python, SQL, ETL pipeline development Important Skills: Data modeling, Machine learning Nice-to-Have Skills: Agile development, Self-starter mindset Benefits: Life & Disability Insurance, Group health dental & Wellness, Sick Leaves, 401(k) plan and contributions