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Senior Data Engineer - Analytics Engineering (Philippines)

Insight Global

Northbrook, ILJobSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
Northbrook, IL
Work Authorization
Not specified

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Job overview

The Senior Data Engineer will support the Analytics Engineering organization within the Lab business unit, building and supporting data solutions for laboratory operations across a global organization. The role combines project-based development with production support and calls for strong hands-on Snowflake expertise. After onboarding and training, the engineer will independently own initiatives and serve as a primary data engineering resource within the Lab pod.

Skills & qualifications

RequiredNice to have

Skills

SnowflakeSnowflake ArchitectureData ModelingSnowflake DevelopmentDBTPythonApache AirflowCloud Data PlatformsIndependent WorkCommunicationStakeholder Management

Qualifications

5+ Years Data Engineering Experience

Full job description

Job Description

Our client is seeking a Senior Data Engineer to support their Analytics Engineering organization, specifically within the Lab business unit. This individual will play a critical role in building and supporting data solutions that power laboratory operations across a global organization. The ideal candidate will possess strong hands-on Snowflake expertise and the ability to independently own data engineering initiatives after an initial onboarding and training period. This role combines both project-based development work and ongoing production support responsibilities. Key Responsibilities Design, develop, and maintain scalable data pipelines using DBT, Python, Airflow, and Snowflake. Build and enhance data models and data structures supporting laboratory business operations. Support production issues, service tickets, and ongoing maintenance activities. Partner with Product Owners and business stakeholders to deliver data solutions. Develop and optimize ETL/ELT workflows and data ingestion processes. Troubleshoot pipeline failures and performance issues. Operate as a primary data engineering resource within the Lab pod after onboarding.

Skills and Requirements

5+ years of Data Engineering experience. Strong hands-on Snowflake experience. Deep understanding of Snowflake architecture, data modeling, and development best practices. Experience building and maintaining data pipelines using DBT. Strong Python development experience. Experience with Apache Airflow. Experience working with modern cloud-based data platforms. Ability to work independently with minimal supervision. Strong communication and stakeholder management skills.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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