Job Description: Senior Data Engineer (Snowflake, DBT, Fivetran)
Hybrid in Dallas
Role Overview
We are seeking a Senior Data Engineer who is highly hands-on and experienced in building modern, scalable data pipelines and transformation frameworks using Snowflake and dbt. This role focuses on delivering high-quality, production-grade data solutions with strong engineering discipline, leveraging Python, CI/CD, and Git-based development practices.
The ideal candidate brings deep, practical experience in dbt coding and Snowflake engineering, along with a strong sense of ownership, accountability, and the ability to operate independently. Fivetran experience is beneficial, but the primary focus is on dbtand Snowflake expertise.
Key Responsibilities
- Design, build, and maintain scalable ELT pipelines, leveraging Fivetran (or similar tools) for ingestion and dbt for transformation.
- Develop and maintain robust dbt projects, including:
- Modular models (staging, intermediate, marts)
- Reusable macros and Jinja templating
- Snapshots for SCD Type 2 handling
- Schema and custom data quality tests
- Documentation using dbt docs
- Implement modular and reusable dbt architecture supporting multi-environment deployments (dev, test, prod).
- Design and implement scalable data models using best practices (dimensional modeling, star schema, and data vault where applicable).
- Optimize Snowflake performance and cost efficiency, including:
- Query tuning and execution optimization
- Warehouse sizing and workload management
- Effective use of micro-partitions, clustering, and pruning
- Build and enforce strong data quality and validation frameworks, including:
- Unit testing for transformations (dbt and custom frameworks)
- Data reconciliation and consistency checks
- Develop Python-based solutions for automation, orchestration support, metadata-driven processing, and operational tooling.
- Implement and enforce Git-based development practices:
- Version control, branching strategies, pull requests, and code reviews
- Consistent and collaborative engineering workflows
- Build, maintain, and enhance CI/CD pipelines for dbt deployments:
- Automated build, test, and deployment processes
- Environment promotion (dev → test → prod)
- Integration with enterprise deployment pipelines
- Work with orchestration tools such as Airflow / Astronomer to schedule, monitor, and manage data pipeline execution (preferred).
- Collaborate closely with platform, governance, and business teams to align on data requirements, access control, and delivery expectations.
Required Qualifications
- 10+ years of experience in data engineering / analytics engineering roles.
- Strong hands-on experience with dbt in production, including:
- Model development and dependency management
- Macro development and reusable frameworks
- Testing strategies (schema tests, custom tests)
- Deployment and environment management
- Strong Snowflake expertise, including:
- Data modeling and warehouse design
- Performance tuning and cost optimization
- Deep understanding of virtual warehouses, micro-partitions, clustering, and query pruning
- Role-based access control (RBAC) and secure data access
- Advanced SQL expertise with ability to build and optimize complex transformations.
- Strong Python programming skills for data engineering use cases.
- Proven experience with Git integration, including collaborative development workflows.
- Strong experience implementing CI/CD pipelines for data platforms and dbtdeployments.
- Experience building and maintaining production-grade data pipelines with SLAs, monitoring, and reliability standards.
Preferred Qualifications
- Experience with Fivetran (connector setup, ingestion patterns, schema management, troubleshooting).
- Experience with Airflow / Astronomer or similar orchestration tools.
- Exposure to data governance, lineage, and observability tools.
- Financial services / banking domain experience is strongly preferred and will be prioritized, though not mandatory.
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。
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