Data Engineer | ML-Driven Data Pipelines

Responsibilities

• Design robust end-to-end data and application architectures using Python, Cloud SQL, and BigQuery to support highly scalable analytics platforms.
• Define target state blueprints and logical data models that align with enterprise standards while ensuring compatibility with existing systems and tools.
• Develop reusable patterns and reference implementations that enable delivery teams to rapidly build secure and reliable data solutions in hybrid environments.
• Oversee translation of business requirements into technical designs ensuring that data pipelines, schemas, and services are optimized for performance and maintainability.
• Provide detailed guidance to developers on best practices for Python coding, query optimization, and configuration of Cloud SQL and BigQuery resources.
• Review solution designs and implementation artifacts to ensure adherence to architectural principles, security policies, and regulatory compliance requirements.
• Establish governance for schema changes, data lifecycle management, and access controls to protect sensitive information and improve audit readiness.
• Collaborate closely with product owners, data engineers, and analysts to prioritize features and shape solutions that create measurable business value.
• Drive continuous improvement by analyzing production incidents, conducting root cause analysis, and evolving architecture patterns to reduce operational risk.
• Evaluate emerging cloud data services and Python frameworks to recommend practical innovations that improve efficiency, reliability, and developer productivity.
• Document architecture decisions, data flows, and interface contracts in a clear and maintainable manner to support shared understanding across distributed teams.
• Coordinate with infrastructure and platform teams to validate capacity, cost models, and service level objectives for Cloud SQL and BigQuery-based solutions.
• Guide performance tuning activities by analyzing workloads, refining queries, restructuring tables, and recommending indexing or partitioning strategies.

Qualifications

• Showcase substantial experience in designing and implementing Python-based solutions that integrate with cloud-native data services and analytics tools.
• Demonstrate strong proficiency in modeling relational and analytical schemas and implementing them effectively in Cloud SQL and BigQuery environments.
• Utilize experience with cloud security concepts, including identity management, encryption, and network boundaries, to design secure data platforms.
• Exhibit familiarity with CI and CD practices, automated testing, and infrastructure as code to support reliable deployment of data and application components.
• Combine excellent communication skills with the ability to collaborate across multidisciplinary teams and guide stakeholders through complex technical decisions.
• Leverage prior exposure to hybrid and enterprise environments to ensure that proposed architectures are pragmatic, maintainable, and aligned to organizational goals.

Pay

The annual salary for this position is between $100,000 - $145,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits

• Medical/Dental/Vision/Life Insurance
• Payed holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan