Sr. Data Engineer

About the role

As a Sr. Data Engineer
, you will make an impact by designing and scaling modern cloud-based data ecosystems that power real-time insights, analytics, and business-critical decision making. You will be a valued member of the data engineering team and collaborate closely with cloud architects, product owners, security partners, and cross-functional engineering squads.

• Build and optimize large-scale, distributed data pipelines using GCP services (Big Query, Dataflow, Pub/Sub, Cloud Storage) to support complex analytics and operational workloads.
• Lead and contribute to enterprise-scale cloud migration initiatives, including mapping legacy schemas, consolidating dependencies, and driving dual-execution validation.
• Architect and deploy unified batch + streaming ingestion frameworks to enable near real-time dashboards and low-latency data processing.
• Improve data reliability, performance, and uptime through pipeline refactoring, automation, and quality frameworks.
• Partner with governance, risk, and security teams to implement compliance controls (HIPAA/PII/PHI) across cloud environments.

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Pleasanton, CA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
Working arrangements may change based on business and client needs, and expectations will always be communicated clearly.

• 15+ years of experience in data engineering, building large-scale distributed data systems and cloud-based architectures.
• Expertise in GCP (Big Query, Dataflow, Pub/Sub, Dataproc, Cloud Storage), big data frameworks, and modern ETL/ELT patterns.
• Proficiency in Python, PySpark, SQL, and scripting languages.
• Experience designing data models, data warehouses, data lakes, and scalable schema architectures (Star/Snowflake).
• Strong background in data governance, security, and compliance frameworks, including HIPAA/PII standards.
• Demonstrated success optimizing query performance, reducing cloud spend, and increasing system reliability and data freshness.
• Experience leading cross-functional Agile teams, including offshore/onshore collaboration models.

• Google Cloud Professional Data Engineer certification.
• Hands-on experience modernizing legacy ETL tools (Ab Initio, Informatica) and building reusable engineering frameworks.
• Background implementing CI/CD pipelines (Git Hub, Jenkins, UDeploy) for data and analytics ecosystems.
• Experience supporting financial, risk, fraud, actuarial, or customer intelligence use cases at scale.
• Track record developing enterprise data standards, migration patterns, and technical roadmaps.
• Strong communication and leadership skills—able to mentor engineering teams and drive architecture decisions.

Applications will be accepted until January 06, 2026.

The annual salary for this position is between $ 115,000 - $ 130,000 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.

• 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

Disclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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