Data Engineer (AIA)
Cognizant, Saint Louis, MO, United States
Data Engineer
Team
AI&A
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 Hartford, CT, Charlotte, NC, St. Louis, MO, 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 April 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.
Benefits
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.
Equal Opportunity Employer
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr
Team
AI&A
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 Hartford, CT, Charlotte, NC, St. Louis, MO, 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 April 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.
Benefits
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.
Equal Opportunity Employer
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr