Data Engineer

Position Overview

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization.

• Design, develop, and optimize data pipelines using Python, Spark, and SQL.
• Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources.
• Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Develop and maintain data models, data dictionaries, and technical documentation.
• Monitor, troubleshoot, and optimize data workflows for performance and scalability.
• Ensure compliance with data governance, security, and privacy policies.
• Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP).
• Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure.
• Knowledge of any of the cloud platforms (AWS, Azure, GCP).
• Understanding of data security, encryption, and compliance best practices.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
• Good programming skills in Python and SQL
• Good problem-solving, analytical, and communication skills
• Ability to work collaboratively in a fast-paced environment
• Familiarity with data orchestration tools (e.g., Airflow, Prefect)
• Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.)
• Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, Git Hub)
• Familiarity with data visualization tools
• Basic understanding of ETL/ELT concepts, data modeling, and data architecture

New hires will be hired at the Cognizant office in Plano, TX or Teaneck, NJ
, where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment.

New hires will start in January or February 2026
. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.

Applications are accepted on an ongoing basis.

The annual salary for this position is $65,000.00 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.

Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate’s diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.

• 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

The hourly rate, 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.

Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization…