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Data Engineer#26-00253
Lake Mary, FLRemote
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Job Description
4 Corner Resources is hiring Data Engineers for a leading healthcare organization. This is a chance to join a fast-moving, technology-driven team where your work directly keeps critical systems running for a large-scale healthcare operation.
Data Engineer Responsibilities
- Build and maintain data acquisition, integration, and migration workflows
- Design and implement data staging, ingestion, preparation, provisioning, and destruction processes
- Support production data pipelines with a focus on stability and fast issue resolution
- Develop, test, and maintain data architectures aligned to business and technical requirements
- Identify and implement improvements to data reliability, efficiency, and quality
- Collaborate with product, analytics, and business stakeholders to translate requirements into data solutions
Data Engineer Qualifications
- Experience building and maintaining data pipelines
- Strong Java or Python skills
- Working knowledge of Big Data systems, automation, and security
- Production cloud experience
- Advanced SQL skills
- Working knowledge of AWS
- Hands-on PySpark experience
- High School Diploma or GED required
Data Engineer Preferred Qualifications
- Bachelor's degree in computer engineering or related field
- Experience leading data transformation initiatives from on-premise to cloud, ideally in a healthcare setting
- Experience working in an Agile environment as a Data Engineer
- Hands-on AWS experience with Redshift, Spectrum, and S3
- Knowledge of the healthcare industry or provider-sponsored health insurance systems
- Strong analytical, problem-solving, and cross-functional communication skills
Data Engineer Details
- Location: Lake Mary, FL or New York City, NY
- Schedule: Remote (Quarterly onsite meetings)
- Pay Rate: $60-$70/hr
- Duration: 6-month contract-to-hire
Must reside in the following states
AL, FL, GA, IN, IA, KS, MS, NC, NE, NV, NH, NJ, NY, OK, SC, SD, TN, TX, VA, WV, WY
4CR1
Skills
- Java
- Python
- SQL
- AWS
- PySpark
- Redshift
- S3
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