Job description

Please note, this role is not able to offer visa transfer or sponsorship now or in the future. About the role As a Data Engineer - Azure Data Factory (ADF) & Snowflake, you will make an impact by designing, building, and supporting cloud data pipelines that ingest data from multiple source systems into Snowflake using Azure Data Factory. This role covers end-to-end delivery, from source analysis and data modeling through pipeline development, performance tuning, and production support. You will be a valued member of the Data Engineering team and work collaboratively with data architects, BI teams, and business stakeholders. In this role, you will: • Build and orchestrate ingestion and transformation pipelines in Azure Data Factory using mapping and data flows, linked services, datasets, triggers, and parameterized, metadata-driven frameworks. • Develop and optimize Snowflake objects including databases, schemas, tables, views, streams, tasks, stored procedures, and Snowpipe-based loads. • Write complex SQL for transformation logic, implement SCD Type 1 and Type 2 patterns, and tune warehouse sizing, clustering, and query performance for cost efficiency. • Integrate ADF with Azure Data Lake Storage Gen2, Azure SQL, Key Vault, Logic Apps, and Databricks or Synapse where required. • Implement CI/CD for ADF and Snowflake through Azure DevOps or GitHub, along with monitoring, alerting, and data quality and reconciliation checks. 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 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 • Strong hands-on experience with Azure Data Factory and Snowflake (4+ years). • Advanced SQL and data warehousing concepts, including dimensional modeling, star and snowflake schemas, and ELT design patterns. • Working knowledge of Azure Data Lake Storage Gen2, Azure SQL Database, and Azure Key Vault. • Experience with Python or PySpark for data processing, along with Git-based version control and CI/CD pipelines. • Understanding of performance tuning, cost optimization, and data security, including RBAC, masking, and row-level access policies. These will help you stand out • Exposure to Agile methodology. • Experience in production support environments. 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. Salary and Other Compensation Applications will be accepted until September 25. 2026. The annual salary for this position is between $115,000-$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. 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. 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 CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Build and orchestrate ingestion and transformation pipelines in Azure Data Factory using mapping and data flows, linked services, datasets, triggers, and parameterized, metadata-driven frameworks.
Develop and optimize Snowflake objects including databases, schemas, tables, views, streams, tasks, stored procedures, and Snowpipe-based loads.
Write complex SQL for transformation logic, implement SCD Type 1 and Type 2 patterns, and tune warehouse sizing, clustering, and query performance for cost efficiency.
Integrate ADF with Azure Data Lake Storage Gen2, Azure SQL, Key Vault, Logic Apps, and Databricks or Synapse where required.
Implement CI/CD for ADF and Snowflake through Azure DevOps or GitHub, along with monitoring, alerting, and data quality and reconciliation checks.
What you need to have to be considered
Strong hands-on experience with Azure Data Factory and Snowflake (4+ years).
Advanced SQL and data warehousing concepts, including dimensional modeling, star and snowflake schemas, and ELT design patterns.
Working knowledge of Azure Data Lake Storage Gen2, Azure SQL Database, and Azure Key Vault.
Experience with Python or PySpark for data processing, along with Git-based version control and CI/CD pipelines.
Understanding of performance tuning, cost optimization, and data security, including RBAC, masking, and row-level access policies.
These will help you stand out
Exposure to Agile methodology.
Experience in production support environments.
Salary and Other Compensation
Applications will be accepted until September 25. 2026.
The annual salary for this position is between $115,000-$135,000 depending on experience and other qualifications of the successful candidate.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuresqlci/cdrestpythonagileai

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave