Job description

AI Aware Data engineer About the Role Work as an AI aware data engineer with eight to twelve years of experience designing and optimizing data solutions across Oracle PostgreSQL and Azure based platforms while ensuring robust integration with C sharp services and enterprise pipelines. Contribute to secure scalable data flows that support insurance analytics for life and annuities products. In This Role, You Will · Design efficient data models and integration patterns across Oracle and PostgreSQL environments to enable high quality analytics outcomes for enterprise business users in a hybrid work setting. · Develop and optimize C sharp based data services that interact with Oracle and PostgreSQL repositories to deliver reliable and reusable data access components for downstream applications. · Build and maintain scalable pipelines using Azure Data Factory that orchestrate ingestion transformation and loading of diverse structured and semi structured data sources into target data platforms. · Configure and enhance Microsoft SSIS packages to support complex extraction and transformation routines while improving maintainability and operational resilience of legacy and modern data workflows. · Implement advanced PL SQL procedures functions and packages to support data validation complex business logic and high volume transaction processing without compromising performance or data quality. · Monitor troubleshoot and tune end to end data processes across Azure Data Factory Microsoft SSIS Oracle and PostgreSQL to reduce failures optimize run times and improve resource utilization. · Collaborate with architecture and application teams to design secure compliant and extensible data solutions that align with enterprise standards and enable responsible AI ready data consumption. · Create and maintain detailed technical documentation and data flow diagrams that clarify dependencies transformation rules and operational procedures for both technical and nontechnical stakeholders. · Apply AI aware practices by preparing well curated feature ready datasets and metadata that support machine learning experiments dashboards and predictive models used by business teams. · Ensure robust data quality and governance by defining validation rules reconciliation checks and exception handling mechanisms that protect customer information and regulatory compliance. · Contribute to business initiatives in life and annuities insurance by translating policy product and claims concepts into data structures and metrics that offer meaningful insights for decision makers. · Coordinate with testers and operations teams to plan deployments validate releases and implement monitoring alerts that enhance reliability of day shift production environments without requiring travel. · Communicate clearly in English through design reviews status updates and issue resolution discussions to ensure shared understanding and alignment among distributed project stakeholder We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What You Need to Have to Be Considered · Exhibit strong proficiency in Oracle database engineering with hands on experience in schema design performance tuning partitioning and PL SQL programming for complex transactional workloads. · Demonstrate advanced skills in Azure Data Factory and Microsoft SSIS including pipeline design parameterization scheduling and integration with diverse on premises and cloud data sources. · Apply practical expertise in PostgreSQL administration and query optimization using indexes constraints and efficient execution strategies to support analytics and reporting needs. · Show solid capability in C sharp for building data centric services api integrations and utilities that interface with relational databases and cloud data platforms. · Utilize thorough understanding of PL SQL and procedural patterns to implement maintainable modular and testable data logic that supports enterprise scale applications. · Leverage working knowledge of life and annuities insurance concepts such as policies premiums claims and reserves to design data structures that reflect business reality and reporting requirements. · Demonstrate fluent English reading writing and speaking skills to document solutions explain complex data topics and collaborate effectively in hybrid meetings and remote interactions. Salary and Other Compensation : Applications will be accepted until November 5, 2026. The annual salary for this position is between $88,000 - $135,000 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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · 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. Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: 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.

Requirements

Must-haves

AI Aware Data engineer
In This Role, You Will
Design efficient data models and integration patterns across Oracle and PostgreSQL environments to enable high quality analytics outcomes for enterprise business users in a hybrid work setting.
Develop and optimize C sharp based data services that interact with Oracle and PostgreSQL repositories to deliver reliable and reusable data access components for downstream applications.
Build and maintain scalable pipelines using Azure Data Factory that orchestrate ingestion transformation and loading of diverse structured and semi structured data sources into target data platforms.
Configure and enhance Microsoft SSIS packages to support complex extraction and transformation routines while improving maintainability and operational resilience of legacy and modern data workflows.
Implement advanced PL SQL procedures functions and packages to support data validation complex business logic and high volume transaction processing without compromising performance or data quality.
Monitor troubleshoot and tune end to end data processes across Azure Data Factory Microsoft SSIS Oracle and PostgreSQL to reduce failures optimize run times and improve resource utilization.
Collaborate with architecture and application teams to design secure compliant and extensible data solutions that align with enterprise standards and enable responsible AI ready data consumption.
Create and maintain detailed technical documentation and data flow diagrams that clarify dependencies transformation rules and operational procedures for both technical and nontechnical stakeholders.
Apply AI aware practices by preparing well curated feature ready datasets and metadata that support machine learning experiments dashboards and predictive models used by business teams.
Ensure robust data quality and governance by defining validation rules reconciliation checks and exception handling mechanisms that protect customer information and regulatory compliance.
Contribute to business initiatives in life and annuities insurance by translating policy product and claims concepts into data structures and metrics that offer meaningful insights for decision makers.
Coordinate with testers and operations teams to plan deployments validate releases and implement monitoring alerts that enhance reliability of day shift production environments without requiring travel.
Communicate clearly in English through design reviews status updates and issue resolution discussions to ensure shared understanding and alignment among distributed project stakeholder
What You Need to Have to Be Considered
Exhibit strong proficiency in Oracle database engineering with hands on experience in schema design performance tuning partitioning and PL SQL programming for complex transactional workloads.
Demonstrate advanced skills in Azure Data Factory and Microsoft SSIS including pipeline design parameterization scheduling and integration with diverse on premises and cloud data sources.
Apply practical expertise in PostgreSQL administration and query optimization using indexes constraints and efficient execution strategies to support analytics and reporting needs.
Show solid capability in C sharp for building data centric services api integrations and utilities that interface with relational databases and cloud data platforms.
Utilize thorough understanding of PL SQL and procedural patterns to implement maintainable modular and testable data logic that supports enterprise scale applications.
Leverage working knowledge of life and annuities insurance concepts such as policies premiums claims and reserves to design data structures that reflect business reality and reporting requirements.
Demonstrate fluent English reading writing and speaking skills to document solutions explain complex data topics and collaborate effectively in hybrid meetings and remote interactions.
Applications will be accepted until November 5, 2026.

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Keywords to mirror

aiazuresqlmachine learningrestapi

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave