Data Engineer (Azure Data Factory & Snowflake)

_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: u2022 Design, develop, and maintain data integration and orchestration workflows in Azure Data Factory (pipelines, datasets, linked services, triggers, parameters, and reusable patterns). u2022 Build and optimize Snowflake data models (staging/integration layers, dimensional or curated models as needed), including performance tuning and cost-aware warehouse usage. u2022 Implement robust operations across ingestion and transformation: monitoring, alerting, logging, failure handling, retry strategies, and runbook-driven support. u2022 Manage and mitigate schema drift and breaking source changes, partnering with downstream consumers to keep contracts stable. u2022 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 roleu2019s 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 youu2019re 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 u2022 5+ years of experience in data engineering, analytics engineering, or similar roles delivering production-grade pipelines. u2022 Hands-on experience building and operating pipelines in Azure Data Factory, including parameterized pipelines and multi-environment deployments. u2022 Strong hands-on experience with Snowflake, including SQL development, schema design, and performance tuning. u2022 Strong SQL skills (joins, window functions, CTEs, query optimization) and solid understanding of data warehousing concepts. u2022 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 u2022 Experience implementing metadata-driven frameworks (config-driven job execution, reusable pipeline templates, dynamic parameterization). u2022 Experience with ELT tooling and Snowflake-native patterns (tasks/streams, Snowpipe, clustering/partitioning concepts, zero-copy cloning). u2022 Experience with data quality/testing frameworks and automation (unit/integration tests, schema checks, reconciliation). u2022 Experience with data governance concepts (source-to-target lineage, access controls, PII handling, retention) and cloud security patterns in Azure. u2022 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 Cognizantu2019s discretionary annual incentive program, based on performance and subject to the terms of Cognizantu2019s applicable plans. Benefits Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: u2022 Medical/Dental/Vision/Life Insurance u2022 Paid holidays plus Paid Time Off u2022 401(k) plan and contributions u2022 Long-term/Short-term Disability u2022 Paid Parental Leave u2022 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. _Weu2019re excited to meet people who share our mission and can make an impact in a variety of ways. Donu2019t 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._Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Created: 2026-05-15