Sr. Developer data engg

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

• No Visa sponsorship/transfer/c2c available now or in the future**

• No Visa sponsorship/transfer/c2c available now or in the future**

Job Summary

Sr Developer role for an MNC focusing on data engineering and advanced analytics solutions using Spark Scala Python and PySpark. The position requires six to ten years of hands on development experience in hybrid work model with day shift schedule and no travel. The role drives scalable data pipelines that support business decisions and societal impact through better insights.

Responsibilities

• Design robust distributed data processing solutions using Spark Scala Python and PySpark that transform complex raw data into reliable curated datasets for critical business analytics and reporting needs.
• Develop highly efficient batch and near real time data pipelines optimized for performance and resource utilization ensuring stable delivery of trusted data to downstream applications and data science teams.
• Implement clean modular and reusable code with strong focus on coding standards unit testing and maintainability so that data engineering assets remain stable and easy to evolve over time.
• Collaborate closely with data analysts and business stakeholders to translate analytical requirements into technical designs that deliver clear measurable value for company objectives and customer outcomes.
• Optimize Spark jobs through advanced tuning techniques including partitioning caching and efficient data formats to reduce execution time and infrastructure cost while maintaining accuracy and reliability.
• Integrate data from diverse sources into unified data models using Spark and Python ensuring consistent data quality governance and traceability across the data lifecycle.
• Troubleshoot complex production issues in data pipelines by analyzing logs performance metrics and data anomalies and implement durable fixes that prevent recurrence and improve system resilience.
• Document technical solutions data flows and operational procedures in a structured and accessible manner so that other team members can support and enhance the platforms with confidence.

Salary And Other Compensation

The annual salary for this position is between $70-123K 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 salary, 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.