Data Warehouse Engineer (SQL Server)
About the Role
As a Data Warehouse Engineer (SQL Server), you will make an impact by designing, developing, and optimizing enterprise-scale data warehouse solutions that support critical business and analytics initiatives. You will be a valued member of the Data Engineering team and work collaboratively with business stakeholders, analytics teams, risk management teams, and enterprise technology partners to deliver high-performing data solutions.
In This Role, You Will:
- Design, develop, and maintain SQL Server-based data warehouse solutions supporting large-scale enterprise reporting and analytics.
- Build and optimize ETL/ELT pipelines using SQL Server and SSIS to process high-volume structured data from multiple source systems.
- Develop advanced T-SQL stored procedures, views, functions, and transformation logic to support business-critical data requirements.
- Implement and support dimensional data models, including fact and dimension structures, SCD Type 1 and Type 2 processing, and incremental load frameworks.
- Monitor, troubleshoot, and tune database performance through query optimization, indexing strategies, and workload analysis.
- Integrate data from APIs, external vendors, and legacy platforms into modern analytics environments.
- Support enterprise data migration initiatives, including modernization of SSIS-based ETL solutions into ELT architectures.
- Collaborate with business users and technical teams to ensure data quality, scalability, performance, and SLA compliance.
- Develop operational monitoring and metadata tracking solutions to improve transparency and reliability of data platform operations.
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, this is a hybrid position requiring 3 days per week in a Cognizant or client office in New Jersey. 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 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
- 10+ years of experience in Data Engineering, Data Warehousing, or SQL Server Development.
- Strong expertise in SQL Server, T-SQL development, stored procedures, views, functions, and database design.
- Experience designing and supporting large-scale data warehouse environments with multi-terabyte datasets.
- Hands-on experience with SSIS and SQL-based ETL/ELT development frameworks.
- Deep understanding of dimensional modeling, star schemas, fact and dimension design, and data warehousing best practices.
- Experience implementing incremental load processes, Change Data Capture (CDC), and SCD Type 1/Type 2 methodologies.
- Proven experience with SQL query optimization, indexing strategies, and performance tuning.
- Experience integrating data from APIs, external vendors, and multiple enterprise source systems.
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent communication and stakeholder management capabilities.
These Will Help You Stand Out
- Experience within financial services, banking, risk management, or regulatory reporting environments.
- Experience migrating legacy ETL solutions to modern ELT architectures.
- Knowledge of Teradata-to-SQL Server data migration and transformation strategies.
- Experience building metadata-driven frameworks and operational monitoring solutions.
- Experience with Power BI, paginated reporting, and business intelligence platforms.
- Experience working in Agile environments using tools such as Jira and GitHub.
- Familiarity with enterprise risk analytics and regulatory data platforms.
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 July 22, 2026.
The annual salary for this position is between $88,000 - $127,000, 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.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
Bewerberinnen und Bewerber können verpflichtet sein, an Vorstellungsgesprächen persönlich oder per Videokonferenz teilzunehmen. Darüber hinaus kann es erforderlich sein, bei jedem Gespräch einen gültigen staatlichen Lichtbildausweis vorzulegen.
Cognizant ist ein Arbeitgeber mit Chancengleichheit. Ihre Bewerbung und Kandidatur werden nicht aufgrund von Rasse, Hautfarbe, Geschlecht, Religion, Glaubensbekenntnis, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung, genetischen Informationen, Schwangerschaft, Veteranenstatus oder sonstiger durch bundes‑, landes‑ oder kommunalrechtliche Vorschriften geschützter Merkmale berücksichtigt oder abgelehnt.







