Data Engineer: Build Scalable Data Pipelines & Analytics

Cognizant; Chicago (IL); Hybrid; USD 58,500 - 71,500; 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

A leading technology solutions provider is seeking a motivated Data Engineer to design and maintain robust data pipelines for diverse data formats. This role requires strong skills in Python, SQL, and data engineering practices. The ideal candidate will also collaborate with data teams and ensure data governance. An annual salary around $65,000 is offered, along with a range of benefits including medical insurance and 401(k).

Qualifications

• Exposure to data lake and data warehouse architectures.
• Familiarity with data orchestration tools.
• Basic understanding of ETL/ELT concepts.

Responsibilities

• Design, develop, and optimize data pipelines using Python and SQL.
• Ingest and analyze structured, semi-structured, and unstructured data.
• Collaborate with data scientists and stakeholders for data requirements.

Skills

Python

SQL

Problem-solving

Analytical skills

Communication skills

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Spark

Airflow

Docker

Kubernetes

Job description

A leading technology solutions provider is seeking a motivated Data Engineer to design and maintain robust data pipelines for diverse data formats. This role requires strong skills in Python, SQL, and data engineering practices. The ideal candidate will also collaborate with data teams and ensure data governance. An annual salary around $65,000 is offered, along with a range of benefits including medical insurance and 401(k).