Senior Data Engineer; Python Developer

Why consider this job opportunity

• Generous personal time off (PTO) benefits and 14 weeks of 100% paid leave for new parents (including adoption)
• Hybrid work options providing flexibility
• Monthly gym membership reimbursement or gym equipment reimbursement
• 401K with employer match and tuition reimbursement after one year of service
• Opportunity to work with cutting‑edge cloud‑based data solutions and innovative technologies
• Award‑winning culture promoting a positive and inclusive work environment

• Develop, test, and maintain data pipelines within the Platform Reference Architecture using various programming languages and tools
• Collaborate with management, product teams, and practice personnel to understand platform data requirements
• Foster a positive work atmosphere and motivate team members to achieve high performance
• Design, develop, test, implement, and support scalable data solutions in an Agile team environment
• Secure data in alignment with internal security policies and best practices while analyzing user feedback for improvements

• Bachelor’s and/or Master’s degree in a related field
• Minimum of 7 years of experience developing data technologies and deploying ETL solutions in production environments
• Proven experience with cloud‑based data services, preferably in AWS or Azure
• Proficient in developing Python, Scala, Java, .Net, or similar solutions in a backend or data wrangling capacity
• Experience in mixed Windows/Linux environments

• Results‑proven track record of exceeding goals and making informed decisions through analysis and judgment
• Fluency in one or more databases, preferably relational and No
  
  SQL
• Experience with distributed data platforms and exposure to AI/ML pipelines
• Experience deploying, monitoring, and maintaining data pipelines in production environments

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