About the role
As an AWS Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-based data solutions that enable advanced analytics, reporting, and data-driven decision-making. You will be a valued member of the Data Engineering team and work collaboratively with architects, data scientists, business stakeholders, analytics teams, and DevOps professionals to deliver reliable and high-performing data products.
In this role, you will:
- Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python, and SQL.
- Build and support modern Lakehouse architecture leveraging Delta Lake and Medallion (Bronze, Silver, Gold) design patterns.
- Develop and optimize batch and streaming data ingestion solutions across multiple enterprise data sources.
- Implement data transformation, validation, governance, security, and quality controls to ensure trusted data assets.
- Partner with cross-functional teams to deliver scalable analytics solutions while improving performance, automation, and cost efficiency across the data platform.
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. 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 degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of experience in Data Engineering with a focus on large-scale data processing solutions.
- 3+ years of hands-on experience building and supporting Databricks solutions on AWS.
- Strong proficiency in Python, PySpark, Spark SQL, and SQL.
- Experience designing and implementing ETL/ELT pipelines in cloud-based environments.
- Strong understanding of Delta Lake, Data Lakehouse concepts, and Medallion architecture.
- Experience with AWS services such as S3, Glue, Lambda, IAM, Redshift, SNS, SQS, and CloudWatch.
- Knowledge of data modeling, dimensional modeling, and modern data warehousing practices.
- Experience using Git-based version control and CI/CD pipelines for deployment automation.
These will help you stand out
- Experience working with Unity Catalog and enterprise data governance frameworks.
- Hands-on experience optimizing Spark workloads, Databricks clusters, and cloud infrastructure costs.
- Knowledge of Change Data Capture (CDC) patterns and real-time data processing architectures.
- Experience with Infrastructure as Code tools such as Terraform.
- Familiarity with Jenkins, Azure DevOps, or similar automation and release management 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.
Applications will be accepted until September 10th, 2025.
Salary and Other Compensation:
The annual salary for this position is between $98.000 - $110.000 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
- 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.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
