Senior Data Engineer II

Summary

Join MetroStar as a Sr. Data Engineer II and collaborate with the AI team to operationalize data pipelines and ML tasks. You will provide daily support for deploying Python-native ML pipelines and perform data engineering tasks to empower AI/ML capabilities. Present findings to diverse audiences through presentations or reports. Offer architectural leadership, technical support, and guidance to ensure identity management system technologies are integrated and meet security standards. Support leadership in interactions with senior executives at a Federal agency, providing expertise in security architecture and other key domains. This role offers a competitive salary and a comprehensive benefits package.

Requirements

• Ability to obtain and maintain DHS Suitability
• Bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
• 8+ years of on-the-job experience in Data/ML engineering; Advanced degree may be considered for at most up to two years towards the experience requirement
• Experience with ETL, Data Labeling and Data Prep
• Experience with DataBricks, Python, and SQL
• Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
• Ability to work independently/with minimal oversight
• You're a team player, passionate, and have a strong work ethic

Responsibilities

• Work with AI team members to operationalize data pipelines and ML tasks
• Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities
• Present results to a diverse audience in presentation or report form
• Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements
• Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas

Benefits

• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses
• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off (PTO) and holidays
• Parental Leave and dependent care
• Flexible work arrangements
• Professional development opportunities
• Employee assistance and wellness programs