Data Engineer - Snowflake and AWS

Cognizant • Harrisburg, PA • 2h ago

About the role

As a Senior Data Engineer - Snowflake and AWS , you will make an impact by designing and delivering scalable data solutions while modernizing legacy data platforms. You will be a valued member of the Data Engineering team and work collaboratively with architects, data scientists, and cross-functional stakeholders to drive large-scale data transformation initiatives.

In this role, you will:

Lead end-to-end Oracle-to-Snowflake data migration initiatives, ensuring data integrity and performance optimization

Design, build, and maintain scalable ETL pipelines and cloud-based data architectures

Develop and optimize complex SQL queries and data models for analytics and reporting

Leverage AI-driven tools and automation techniques to accelerate data transformation, validation, and migration processes

Collaborate with cross-functional teams to modernize legacy systems and implement best practices in data engineering

Work model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered:

8+ years of experience in data engineering, including strong ETL development expertise

Hands-on experience with Snowflake in enterprise-scale implementations

Advanced SQL skills with experience in Oracle databases

Solid programming experience with Python for data processing and automation

Experience working on large-scale data migration or transformation projects

Understanding of data pipeline design, performance tuning, and data quality best practices

Awareness or practical exposure to AI-driven automation in data engineering workflows

These will help you stand out:

Experience with cloud platforms (e.g., AWS, Azure, or GCP)

Exposure to migration tools such as SnowConvert or similar solutions

Familiarity with CI/CD pipelines and DevOps practices in data engineering

Knowledge of modern data architecture patterns (e.g., data lake, lakehouse)

Experience working in agile delivery environments

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting ideas to this role.

Salary and Other Compensation :

Applications will be accepted until June 28, 2026.

The annual salary for this position is between $ 115,000 - $ 130,000 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.

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