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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
