"Please note, this role is not able to offer visa transfer or sponsorship now or in the future."
About the role
As a Data Engineer, you will make an impact by designing, developing, and optimizing scalable cloud-based data solutions that power enterprise analytics and business decision-making. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, analysts, business stakeholders, and cross-functional technology teams to build modern data platforms and services.
In this role, you will:
- Design, develop, and maintain scalable data pipelines that integrate data from multiple sources into enterprise data platforms hosted on AWS.
- Build and optimize ETL/ELT workflows using AWS services, Python, SQL, and cloud-native technologies to support high-volume data processing.
- Develop and maintain secure, scalable APIs and data services that enable efficient access to business-critical data.
- Support the modernization and migration of legacy data platforms and processes into cloud-based architectures.
- Implement data quality controls, performance optimization, automation, and CI/CD best practices across data engineering solutions.
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 2 days a week in a client office in Charlotte, NC. 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
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
- Strong hands-on experience with Python, SQL, and database development in Oracle and MySQL environments.
- Experience designing and supporting cloud-based data solutions using AWS services such as Lambda, EMR, Fargate, and CloudFormation.
- Experience with Amazon Aurora and modern data warehouse platforms such as Snowflake.
- Proven expertise in building and maintaining ETL/ELT pipelines and data integration frameworks.
- Experience developing REST APIs and data services within enterprise environments.
- Knowledge of DevOps practices and tools including Jenkins, JIRA, and CI/CD pipelines.
- Strong understanding of data modeling, data quality, performance tuning, and optimization techniques.
- Excellent communication, collaboration, analytical, and problem-solving skills.
These will help you stand out
- Experience migrating legacy data platforms and ETL solutions, including DataStage, to cloud-native architectures.
- Familiarity with Birst analytics solutions and enterprise reporting platforms.
- Experience with Syncsort or similar data transformation and enrichment tools.
- Knowledge of data governance, security, encryption, and compliance best practices.
- Experience working within Agile delivery environments.
- AWS certifications or other cloud-related credentials.
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 August 24th, 2026.
The annual salary for this position is between $108,000 - $120,000 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.
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。
