Sr data engg

About the Position

We are seeking a Sr Data Engineer to design scalable data solutions using BigQuery ML and Python for a global organization.

Responsibilities

• Design end-to-end cloud data architectures leveraging BigQuery and BigQuery ML to deliver scalable analytics platforms that support complex business reporting and predictive modeling needs for diverse stakeholder groups.
• Develop robust machine learning solutions in BigQuery ML using Python-based feature engineering and model evaluation practices that improve decision quality across critical business processes and external customer services.
• Optimize data warehouse structures and BigQuery query performance by defining partitioning strategies, clustering approaches, and cost control mechanisms that ensure efficient use of resources and rapid insight generation.
• Collaborate with product owners, data scientists, and engineering teams to translate analytical requirements into technical blueprints that integrate BigQuery data assets, Python workflows, and downstream consumption layers.
• Establish standards for data ingestion, transformation, and storage in BigQuery, including reusable patterns for Python-based pipelines to ensure reliability, auditability, and consistent data quality across projects.
• Create architecture documentation and solution diagrams that clearly describe data flows, security controls, and integration touchpoints enabling teams to implement BigQuery and Python solutions with confidence and alignment.
• Guide teams on best practices for experimenting with BigQuery ML models, including model selection, training, validation, and monitoring to ensure models remain accurate, ethical, and relevant to business objectives.
• Coordinate hybrid work collaboration by defining processes and tools that support effective communication, code review, and design validation for team members working both onsite and remotely in day shift.
• Ensure security and compliance requirements are embedded into all BigQuery and Python solutions by applying encryption, access control policies, and data governance principles that protect sensitive information and build stakeholder trust.

Requirements

• BigQuery
• Python
• Machine Learning
• Data Warehouse

We Offer

• Annual Salary: Between $100-140K depending on experience and other qualifications of the successful candidate.
• Benefits:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

About the Company

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Application Process

1. Apply to the right opportunity: Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.
2. Connect with your recruiter: If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.
3. Show off your skills: If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.
4. Decision time: Our team will then review each candidate’s potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us-but you can count on us to keep you updated.