Data Engineer - Build Scalable Data Pipelines & Insights

Cognizant; Blaine (MN); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

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

Job summary

Cognizant is seeking a Data Engineer to design, develop, and maintain robust data pipelines for structured, semi-structured, and unstructured data, using Python and SQL, with exposure to Spark. Collaborate with data scientists and stakeholders to understand data requirements and deliver solutions.

Start August 2026 at our Plano, TX or Teaneck, NJ offices, with standard Cognizant benefits and a discretionary incentive program.

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, BigQuery 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

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.

Skills

Python

SQL

Spark

Data modeling

Analytical thinking

Communication

Airflow

Prefect

Data visualization

Education

Bachelor’s or Master’s degree in Computer Science/Info Systems/Data Engineering

Tools

Airflow

Prefect

Snowflake

Databricks

BigQuery

Docker

Kubernetes

GitHub

Job description

Cognizant is seeking a Data Engineer to design, develop, and maintain robust data pipelines for structured, semi-structured, and unstructured data, using Python and SQL, with exposure to Spark. Collaborate with data scientists and stakeholders to understand data requirements and deliver solutions.

Start August 2026 at our Plano, TX or Teaneck, NJ offices, with standard Cognizant benefits and a discretionary incentive program.