Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Data Engineer (Azure Data Factory & Snowflake)
About the role
As a Data Engineer, you will make an impact by building, operating, and continuously improving enterprise data pipelines and data models using Azure Data Factory (ADF) and Snowflake. You will be a valued member of the Data Engineering team and work collaboratively with stakeholders to translate business needs into scalable technical designs.
In this role, you will:
• Design, develop, and maintain data integration and orchestration workflows in Azure Data Factory (pipelines, datasets, linked services, triggers, parameters, and reusable patterns).
• Build and optimize Snowflake data models (staging/integration layers, dimensional or curated models as needed), including performance tuning and cost-aware warehouse usage.
• Implement robust operations across ingestion and transformation: monitoring, alerting, logging, failure handling, retry strategies, and runbook-driven support.
• Manage and mitigate schema drift and breaking source changes, partnering with downstream consumers to keep contracts stable.
• Ensure data quality and reliability through validation checks, reconciliation, and automated testing where appropriate.
Work model
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 through 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
• 5+ years of experience in data engineering, analytics engineering, or similar roles delivering production-grade pipelines.
• Hands-on experience building and operating pipelines in Azure Data Factory, including parameterized pipelines and multi-environment deployments.
• Strong hands-on experience with Snowflake, including SQL development, schema design, and performance tuning.
• Strong SQL skills (joins, window functions, CTEs, query optimization) and solid understanding of data warehousing concepts.
• Experience with orchestration and operational best practices (scheduling, monitoring, incident response, and root cause analysis) and proficiency with version control (Git).
These will help you stand out
• Experience implementing metadata-driven frameworks (config-driven job execution, reusable pipeline templates, dynamic parameterization).
• Experience with ELT tooling and Snowflake-native patterns (tasks/streams, Snowpipe, clustering/partitioning concepts, zero-copy cloning).
• Experience with data quality/testing frameworks and automation (unit/integration tests, schema checks, reconciliation).
• Experience with data governance concepts (source-to-target lineage, access controls, PII handling, retention) and cloud security patterns in Azure.
• Experience operating Fivetran at scale (multiple connectors, environments, role-based access, connector ownership, and cost management).
Salary and Other Compensation
Applications will be accepted until May 20, 2026
The annual salary for this position is between $125,000- $150,000 USD 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.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
