Job description

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. Key Responsibilities · 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. Required Skills & Qualifications · 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, GitHub) · Familiarity with data visualization tools · Basic understanding of ETL/ELT concepts, data modeling, and data architecture Location 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. Start Date New hires will start in August 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. Salary and Other Compensation: The annual salary for this position is $65,000 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. Why Choose Us? 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. 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 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. Work Authorization Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Position Overview
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.
Required Skills & Qualifications
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, GitHub)
Familiarity with data visualization tools
Basic understanding of ETL/ELT concepts, data modeling, and data architecture
Why Choose Us?

Nice-to-haves

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Keywords to mirror

pythonsqlawsazuregcpci/cddockerkubernetesai

Platform: cognizant
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off

Parental Leave