Data Engineer
September 16
Description
• Work closely with an Agile team to build data pipelines. • Develop and maintain data architecture and pipelines. • Implement emerging tools and processes for cost savings. • Propose improvements for efficiency and scalability.
Requirements
• Bachelor’s degree (preferred in Computer Science, MIS, IST, or Engineering). • 4+ years of experience in data or software engineering. • Expertise in Data & Analytics including ETL/ELT, dimensional modeling, SQL. • Strong proficiency in Python, including libraries like pandas and numpy. • Experience with GitHub for source control. • Skilled in database development using Hadoop or similar technology. • Hands-on experience with AWS cloud services. • Agile experience is preferred.
Benefits
• Product allowance for employee enjoyment. • "Quiet Weeks" for individual development. • Half days on Fridays during summer. • Tuition Reimbursement up to $10,000/year. • $500 for home office setup. • Ongoing learning opportunities and mentorship programs. • Occasional team building meetups. • 160 hours of PTO with 13 paid holidays. • Comprehensive health care benefits including medical/dental/vision insurance and 401(k).
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