Ready to build data platforms that actually make an impact?
We’re looking for a hands-on Lead Data Engineer who loves solving complex data problems and building scalable solutions with Azure Databricks, Spark, and PySpark.
You’ll lead the design and development of high-performance data pipelines, help shape engineering best practices, and work with teams across the business to turn data into meaningful insights.
What You’ll Do
- Design and build scalable data pipelines using Azure Databricks, Spark, and PySpark
- Lead end-to-end data engineering solutions from design through production
- Optimize Spark workloads, clusters, and jobs for performance, reliability, and cost
- Integrate data from multiple sources into trusted, analytics-ready datasets
- Build strong data quality, monitoring, and validation into every pipeline
- Establish coding standards, reusable frameworks, and engineering best practices
- Partner with architects, product teams, and business stakeholders to solve real-world data challenges
- Mentor engineers through design reviews, code reviews, and technical guidance
- Explore new Databricks and Spark capabilities and bring the best ideas into production
What We’re Looking For --> Must have 13+ years of total experience with DW space.
- Strong hands-on experience with Azure Databricks-- 5 + years-- Must have to be considered
- Deep expertise in Spark / PySpark, Python, and SQL
- Experience building large-scale ETL/ELT data pipelines
- Strong understanding of data modeling and distributed data processing
- Experience with performance tuning and Databricks cluster optimization
- Knowledge of Delta Lake, ADLS, ADF, Unity Catalog, CI/CD, and Azure DevOps is a plus
- Strong communication skills and the ability to lead and mentor engineering teams
Bonus Points
Experience working with hospitality, travel, booking, customer, or operational data.
If you enjoy building smart, scalable data solutions and want to see your work directly influence business and customer experiences, this could be a great fit.
Exempt Roles (up to AD Level)
Note: Compensation range should extend from the minimum to P75, consistent with the job family and level.
For all remote positions and those based in pay transparency locations, include this text in the External Description:
Salary and Other Compensation:
The annual salary for this position is between $120-135Kdepending 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 la
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
