DataBricks Data engineer

Cognizant; Little Rock (AR); Remote; USD 110,000 - 130,000; Full time

Job summary

A leading technology company is seeking a Senior Data Engineer with expertise in Databricks and cloud data engineering. Responsibilities include analyzing large datasets, developing Delta Live Pipelines, and managing data lakes using Amazon S3. The ideal candidate should have 8-10 years of experience and proficiency in Python and PySpark. This position offers a competitive salary between $110K-$130K and comprehensive benefits including medical and parental leave.

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

Qualifications

• 8-10 years of experience in data engineering roles.

Responsibilities

• Use Databricks SQL to analyze large datasets.
• Develop and maintain Delta Live Pipelines for real-time data processing.
• Manage Amazon S3-based data lakes ensuring data integrity.
• Build data processing applications using Python and PySpark.
• Integrate Databricks Workflows to streamline data pipelines.
• Monitor system performance for high availability.

Skills

Databricks SQL

Python and PySpark

Amazon S3

Databricks Unity Catalog

Job description

Overview

Role : DataBricks Data Engineer

Remote

We are seeking a highly experienced Sr Data Engineer to join our dynamic team. The ideal candidate will bring deep expertise in Databricks, cloud data engineering, and modern data architecture, with a strong focus on Databricks Unity Catalog, Delta Live Tables, and Amazon S3.

Responsibilities

• Use Databricks SQL to analyze large datasets and deliver actionable insights.
• Develop and maintain Delta Live Pipelines for efficient, real-time data processing and analytics.
• Manage Amazon S3-based data lakes, ensuring data integrity, security, and accessibility.
• Build robust data processing applications using Python and PySpark to meet evolving business needs.
• Manage Databricks Delta Lake to ensure data consistency and reliability across platforms.
• Integrate and orchestrate Databricks Workflows to streamline data pipelines and automation.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Provide technical leadership and best practices in data engineering and architecture.
• Ensure compliance with data security and industry regulations.
• Monitor and optimize system performance for high availability and efficiency.
• Stay current with emerging technologies and trends in data engineering and cloud platforms.

Required Skills & Experience

8-10 years of experience in data engineering roles.

Skillset

• Databricks SQL
• Python and PySpark
• Amazon S3
• Databricks Unity Catalog

Salary and Other Compensation

Applications will be accepted until Oct 17 2025

The annual salary for this position is between $110K- 130K 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

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.