DataBricks Data engineer

Cognizant; Phoenix (AZ); 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. This role focuses on data analysis, pipeline development, and management of data lakes, offering a competitive salary of $110K-130K based on experience. Benefits include health insurance, paid time off, and a 401(k) plan.

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 and deliver actionable insights.
• Develop and maintain Delta Live Pipelines.
• Manage Amazon S3-based data lakes.
• Build robust data processing applications using Python and PySpark.
• Integrate and orchestrate Databricks Workflows.
• Provide technical leadership in data engineering.

Skills

Databricks SQL

Python and PySpark

Amazon S3

Databricks Unity Catalog

Job description

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.

Key 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.

Skills

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

Salary and Benefits

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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• 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.