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Data Engineer - Health Insurance | Detroit

DataspaceDetroit
Hybrid Contract $60/hr - $70/hr

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Experience Level

Mid to Senior

Qualifications

Mandatory Skills/Experience:4+ years of experience in:Advanced SQLPython and SparkPreferred Skills/Experience:Experience with healthcare dataExperience in a Linux environment

About the job

Job Title: Data Engineer - Health Insurance

Location: Detroit, United States Experience: Mid-level Remote Working: Hybrid

Job Description:

Join the innovative team at Dataspace as a Data Engineer specializing in Health Insurance. This role is pivotal in the design, development, and maintenance of robust infrastructure and tools necessary for processing and analyzing extensive datasets. Collaborating closely with data scientists, analysts, and various stakeholders, you will ensure the availability and integrity of data, empowering the organization to make informed, data-driven decisions.

Location: Detroit, MI (2+ days/week onsite required)

Mode: Contract to Hire

Responsibilities:

  • Design, implement, and maintain scalable data pipelines and ETL processes to efficiently collect, process, and store large datasets from diverse sources.

  • Work collaboratively with data scientists and analysts to comprehend data requirements, ensuring accessibility and reliability for analytical purposes.

  • Optimize data storage solutions, including data warehouses and data lakes, to meet analytical and reporting demands.

  • Monitor, troubleshoot, and enhance data pipelines and systems to maintain high availability and performance levels.

  • Establish and uphold data governance and security standards to ensure data integrity and compliance with applicable regulations.

  • Conduct data quality assessments and validations to confirm the accuracy and consistency of datasets.

About Dataspace

Dataspace is a forward-thinking company at the forefront of data engineering, particularly within the health insurance sector. We strive to empower organizations through innovative data solutions, ensuring they leverage data for impactful decision-making.

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