Lead Data Engineer – Snowflake
About the role
As a Lead Data Engineer – Snowflake, you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational excellence. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data architects, analysts, and engineering teams to develop modern cloud-based data platforms that support enterprise reporting, analytics, and decision-making.
In this role, you will:
- Lead the design and implementation of Snowflake-based data solutions that transform raw data into trusted, business-ready information assets.
- Develop and optimize ETL workflows that integrate data from multiple internal and external sources into Snowflake environments.
- Configure and support Snowpipe-based ingestion processes to enable reliable batch and near real-time data integration.
- Design and optimize Snowflake data models, schemas, and SQL workloads to support enterprise analytics and reporting requirements.
- Drive performance tuning, workload optimization, and capacity planning activities across Snowflake environments.
- Implement data quality controls, validation frameworks, and exception handling processes to ensure data accuracy and reliability.
- Collaborate with business and technical stakeholders to translate analytical requirements into scalable data engineering solutions.
- Troubleshoot and resolve data pipeline and platform issues through root cause analysis and continuous improvement initiatives.
- Develop reusable engineering frameworks, coding standards, and best practices that improve delivery speed and solution quality.
- Mentor team members and provide technical guidance on Snowflake, ETL development, data modeling, and engineering best practices.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, Hartford, CT is the preferred location with a hybrid work model. Qualified candidates located within the Eastern Time Zone may also be considered for a remote work arrangement based on project and business needs.
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
- 8-12 years of experience in Data Engineering, Data Warehousing, ETL Development, or related disciplines.
- Strong hands-on experience with Snowflake, Snowflake SQL, and Snowpipe.
- Proven experience designing and implementing enterprise-scale ETL and data integration solutions.
- Expertise in Snowflake performance tuning, optimization, and workload management.
- Experience designing cloud-based data warehouses and modern analytics platforms.
- Strong SQL development and data modeling skills.
- Experience implementing data quality validation, reconciliation, and monitoring processes.
- Proven ability to lead technical initiatives and collaborate effectively across distributed teams.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
These will help you stand out
- Experience within the Property & Casualty Insurance industry.
- Knowledge of underwriting, claims, policy administration, billing, or insurance analytics data domains.
- Experience supporting near real-time data ingestion and streaming architectures.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Experience establishing enterprise data engineering standards, reusable frameworks, and automation approaches.
- Experience supporting large-scale data modernization initiatives and cloud transformations.
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.
Compensation
Applications will be accepted until November 20, 2026.
The annual salary for this position is between $115,000- $135,000, depending on experience, qualifications, geographic location, and other factors permitted by applicable law.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable compensation plans.
Pay Transparency
The salary range provided reflects Cognizant's good-faith estimate of compensation for this position at the time of posting. Actual compensation offered will be determined based on several factors, including but not limited to relevant experience, technical expertise, certifications, education, internal equity, geographic location, and business needs.
Cognizant is committed to providing competitive compensation and a comprehensive benefits package designed to support the health, well-being, and financial security of our associates.
Benefits
Subject to applicable eligibility requirements, Cognizant offers:
- Medical, Dental, Vision, and Life Insurance
- Paid Holidays and Paid Time Off
- 401(k) Plan with Company Contributions
- Short-Term and Long-Term Disability Coverage
- Paid Parental Leave
- Employee Stock Purchase Plan
- Employee Assistance and Wellbeing Programs
- Training, Certification, and Professional Development Opportunities
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。
