Data Engineer
Wilmington, DE, 19801
Apply now: Data Engineer (R&D), location is Remote. The start date is mid-April for this 6-month contract position.
Job Title: Data Engineer
Location: 100% Remote
Start Date Is: Mid-April
Duration: 6-month contract
Compensation Range: : $60-75/hr on W2 ONLY!
Benefits: This position is eligible for medical, dental, vision,
and 401(k).
Job Description:
This role will lead digital transformation initiatives focused on modernizing and structuring R&D data to support analytics, automation, and AI-driven innovation.
Day-to-Day Responsibilities:
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Work closely with R&D scientists, researchers, and IT teams to gather requirements and translate technical needs into actionable workflows
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Support data modernization initiatives by helping migrate data from legacy platforms to modern systems
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Partner with data engineers to structure, standardize, and manage R&D data sources
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Coordinate data workflows involving Python, Microsoft tools, and cloud platforms
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Facilitate communication between technical teams and scientific users to ensure solutions meet research needs
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Assist with automation and data integration projects across research environments
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Support reporting and data visualization efforts using tools such as Power BI
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Identify opportunities to improve data accessibility and streamline research processes
Requirements:
Must-Haves:
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3 years of hands-on experience working within an R&D environment
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Experience supporting data engineering or data management projects
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Strong experience with Python and working with Python-based data workflows
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Experience handling Excel-based datasets and transferring data into structured systems
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Familiarity with Microsoft data ecosystem tools
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Experience with Databricks
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Exposure to Power BI or PowerApps
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Experience with automation and data workflow processes
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Strong communication skills with the ability to translate technical requirements between scientists and IT teams
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Familiarity with LIMS or Electronic Lab Notebook (ELN) systems
Nice-to-Haves:
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Experience with Oracle databases
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Strong SQL skills
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Experience working in scientific, chemical, or research organizations
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Exposure to AI-enabled data environments
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