Data Engineer
In this role, you will:
- Experience with using AI-assisted development tools (Cursor, Claude Code, Databricks Genie, OpenRouter, or similar) to accelerate coding, troubleshooting, and documentation, while reviewing and testing all AI-generated output before it reaches production.
- Develop new data pipelines in Azure Databricks, and contribute to the enterprise data lakehouse.
- Enhance and extend existing SQL Server Agent jobs, stored procedures, views, functions and SSIS packages, including the surrounding schema changes each enhancement requires.
- Develop, enhance and extend data integrations with external systems and APIs using Salesforce MuleSoft
- Write and tune complex T-SQL against large data volumes; analyze execution plans and apply indexing and statistics strategies to resolve performance problems.
- Build and maintain data models and datasets that support Power BI reporting, including publishing, scheduled refresh and gateway configuration.
- Perform data validation, reconciliation and data-quality checks across source and target systems.
- Provide production support for approximately 300 data integration jobs: monitor, triage, diagnose and resolve failures, and drive root-cause analysis so the same failure does not recur.
- Partner in person with team members, application developers, and business stakeholders across academic and administrative departments to gather requirements and deliver solutions.
- Communicate status, root causes and business impact clearly to non-technical stakeholders in written and verbal English.
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Irvine, CA.
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
- 5+ years of hands-on Microsoft SQL Server and T-SQL development experience.
- Advanced set-based T-SQL. Fluency with window functions (ROW_NUMBER, RANK, DENSE_RANK), common table expressions, deduplication and latest-record-per-key patterns, and conditional aggregation. Candidates should expect a hands-on exercise in this area – see the selection process below.
- SQL Server Agent – building, scheduling, monitoring and troubleshooting job chains in a production environment.
- SSIS – developing and maintaining packages, including debugging failures in deployed packages.
- Azure Databricks – demonstrable hands-on experience. Notebooks, jobs and workflows, Spark SQL and/or PySpark, and Delta Lake. This is a firm requirement, not a nice-to-have.
- MuleSoft – hands-on development of API integrations, including Mule flows, DataWeave transformations, error handling, deployment, and production monitoring.
- AI-assisted development ("vibe coding"). Demonstrated productive use of agentic coding tools such as Claude Code, Databricks Genie, OpenRouter, or Cursor to write, refactor, troubleshoot and document code – together with the engineering judgment to review, test and validate AI-generated output before it reaches production. Given how much of this role involves working inside unfamiliar inherited code, we regard this as a genuine productivity multiplier and we will ask candidates how they use these tools.
- Performance tuning – execution plan analysis, index design, statistics maintenance, and diagnosing queries that regress in production.
- Production support discipline – working incidents to resolution against service-level expectations, and communicating clearly while an issue is open.
- Professional written and spoken English sufficient to explain a technical problem, its cause and its business impact to a non-technical stakeholder such as a dean or department head.
- Ability to work 100% on site in Irvine, California during standard Pacific business hours. Remote work is not available for this position.
Salary and Other Compensation
Applications will be accepted until December 2, 2016.
The annual salary for this position is between $64,000 - $94,500 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。
