Data Engineer: Scalable Pipelines & Cloud Analytics

Cognizant; Bentonville (AR); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays and PTO

Job summary

Cognizant is seeking a Data Engineer to design, develop, and maintain scalable data pipelines for structured, semi-structured, and unstructured data. You will collaborate with data scientists and business stakeholders to deliver robust data solutions and enable advanced analytics.

The role emphasizes building data models, ensuring data quality, and implementing governance across cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• Strong 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 (Airflow, Prefect).
• Exposure to data lake and data warehouse architectures (Snowflake, Databricks, BigQuery).
• Knowledge of containerization and CI/CD pipelines (Docker, Kubernetes, GitHub).
• Familiarity with data visualization tools.
• Basic understanding of ETL/ELT concepts, data modeling, and data architecture.

Responsibilities

• Design, develop, and optimize data pipelines using Python, Spark, and SQL.
• Ingest, process, and analyze structured, semi-structured, and unstructured data from diverse sources.
• Implement data quality checks, validation, and transformation logic.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• 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 solutions (AWS, Azure, GCP).
• Automate repetitive data engineering tasks and contribute to infrastructure improvements.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Understanding of data security, encryption, and compliance best practices.

Skills

Python

SQL

Problem solving

Analytical thinking

Communication

Teamwork

Education

Bachelor's or Master's in CS/IS/Data Engineering

Tools

Airflow

Prefect

Snowflake

Databricks

BigQuery

Docker

Kubernetes

GitHub

Job description

Cognizant is seeking a Data Engineer to design, develop, and maintain scalable data pipelines for structured, semi-structured, and unstructured data. You will collaborate with data scientists and business stakeholders to deliver robust data solutions and enable advanced analytics.

The role emphasizes building data models, ensuring data quality, and implementing governance across cloud platforms (AWS/Azure/GCP).