Senior Data Engineer: Spark Pipelines | Hybrid Work

Cognizant; Arkansas; Hybrid; USD 70,000 - 123,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Disability insurance

Parental leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Sr Developer focused on data engineering and analytics solutions in a hybrid work environment in the United States. The role emphasizes scalable data pipelines, collaboration with analysts and stakeholders, and delivering trusted data for business decisions.

The ideal candidate has 6–10 years of hands-on experience with Spark, Scala, Python, and PySpark, and is comfortable working in a day-shift schedule with no travel.

Qualifications

• 6–10 years of hands-on data engineering development experience.
• Experience with Spark, Scala, Python/PySpark.
• Willingness for hybrid work, day shifts, and no travel.

Responsibilities

• Design robust distributed data processing solutions using Spark/Scala/Python to transform raw data into reliable curated datasets for analytics.
• Develop efficient batch and near real‑time data pipelines optimized for performance and resource use.
• Write clean, modular, testable code with strong maintainability.

Skills

Spark

Scala

Python

PySpark

Data pipelines

Data engineering

Job description

Cognizant is seeking a Sr Developer focused on data engineering and analytics solutions in a hybrid work environment in the United States. The role emphasizes scalable data pipelines, collaboration with analysts and stakeholders, and delivering trusted data for business decisions.

The ideal candidate has 6–10 years of hands-on experience with Spark, Scala, Python, and PySpark, and is comfortable working in a day-shift schedule with no travel.