Director Data Engineering

Summary

The job is for a Data Engineering Lead at MedeAnalytics, a healthcare analytics company. The role involves leading data engineering strategy, migrating existing processes to AWS cloud, designing and implementing data pipelines, collaborating with cross-functional teams, ensuring quality and compliance, and continuous improvement. Requires a degree in Computer Science or related field, 10 years of experience, 5 years in leadership, proficiency in AWS cloud technologies, healthcare analytics domain knowledge, and management skills.

Requirements

• Education and Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. At least 10 years of experience in data engineering, with a minimum of 5 years in a leadership role
• Technical Skills: Proficiency in AWS cloud technologies, including Amazon Glue, Step Functions, Lambda Functions, Batch, and related tools
• Healthcare Analytics Domain Knowledge: Experience or a strong interest in healthcare analytics
• Experience in AI/ML: Some experience or familiarity with artificial intelligence (AI) and machine learning (ML)
• Management and Leadership: Strong leadership skills with the ability to motivate and inspire teams
• Problem-Solving: Excellent problem-solving skills with a focus on innovation and creativity
• Communication: Exceptional communication and interpersonal skills
• Agility and Adaptability: Comfortable working in a fast-paced, dynamic environment. Ability to adapt to changing priorities and drive results

Responsibilities

• Leadership and Strategy: Develop and implement the data engineering strategy to support our transition to the AWS cloud
• Cloud Migration: Oversee the migration of existing data engineering processes to the AWS cloud platform
• Technology Implementation: Design, develop, and implement data pipelines and workflows using Amazon Glue, Step Functions, Lambda Functions, Batch, and other AWS services
• Collaboration and Communication: Work closely with cross-functional teams including Data Science, Analytics, Product Development, and IT to ensure data engineering initiatives support broader business objectives
• Quality and Compliance: Ensure data quality, security, and compliance with industry standards and regulations
• Continuous Improvement: Stay up-to-date with emerging technologies and industry trends, continuously seeking opportunities to improve and optimize data engineering processes and tools

Benefits

• Great Medical, Dental, Vision benefits
• Company paid Basic Life & AD&D Insurance, STD/LTD
• ROBUST Employee Assistance Program (EAP)
• 401k with Company Match
• 9 paid holidays AND 3 floating holidays = 12 total!
• Paid Time Off (PTO) Accrual
• Employee Referral Bonus
• Professional Development