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Licensed Practical Nurse (LPN), Registered Nurse (RN), and Certified Nursing Assistant (CNA) - Multiple States
Globalbridge Talent Group
Wayne, PA · Waterville, ME · Trumbull Center, CT · Tamaroa, IL · St. Albans, VT · Sonora, CA · Silver Spring, MD · Seaford, DE · Rising Sun, MD · Reed City, MI · Pembroke, NC · North Cape May, NJ · New York City, NY · Murrysville, PA · Moses Lake, WA · Monroeville, PA · Monongahela, PA · Lewiston, ME · Lawton, OK · Kansas City, MO · Irwin, PA · Houston, TX · Homestead, PA · High Point, NC · Evanston, IL · Eureka, CA · Enola, PA · Du Quoin, IL · Decatur, AL · Dallastown, PA · Dallas, TX · Coeur d'Alene, ID · Chambersburg, PA · Catonsville, MD · Carnegie, PA · Carlisle Barracks, PA · Brooklyn Park, MD · Bowie, MD · Baltimore, MD · Bad Axe, MI · Arlington Heights, IL

Globalbridge Talent Group

Data Engineer

Remote, United States

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Job details

Experience: 4+ years of hands-on experience as a Data Engineer or in a similar role.
Working hours: 40 hours/week
Posting language: English

Original job description

Job Description:

We are seeking a highly skilled and experienced Data Engineer to help shape and scale our supply chain and operations analytics infrastructure. In this role, you will work closely with cross-functional teams - including Operations, Finance, and Analytics - to design, build, and monitor scalable, production-grade data pipelines. Your work will be critical to driving data-informed decisions across the business.

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Requirements:

Develop and maintain automated ETL pipelines using Python, Snowflake SQL, and related technologies.
Ensure robust data quality through unit testing, validation, and continuous monitoring.
Collaborate with stakeholders to ingest and transform large healthcare datasets with accuracy and efficiency.
Leverage AWS services such as S3, DynamoDB, Batch, and Step Functions for data integration and deployment.
Optimize performance for pipelines processing large-scale datasets (1GB+).
Translate business requirements into reliable, scalable data solutions.

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Experience:

4+ years of hands-on experience as a Data Engineer or in a similar role.
Proven expertise in Python, SQL, and Snowflake for data engineering tasks.
Strong experience building and maintaining production-grade ETL pipelines.
Solid understanding of data validation, transformation, and debugging practices.
Prior experience with healthcare or claims datasets is highly preferred.
Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions.
Experience working with large datasets and complex data environments.
Excellent verbal and written English communication skills.

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Work Schedule:

Full-time remote position (40 hours/week).
Working hours must align with U.S. Central Time Zone (CT).

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More about this job

Skills

Supply chain management
Google Analytics
Data engineering
Python
Snowflake
SQL
Unit testing
Negotiate with stakeholders
AWS
Amazon DynamoDB
Debugging
Communication skills

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