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
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。
