Data Engineer

Summary

Join Emi Labs, a company on a mission to increase access to professional opportunities for frontline workers, as a Data Engineer. You will design, develop, and maintain scalable data pipelines and infrastructure, collaborating with various teams to ensure data-driven strategies are incorporated into product development. The role requires establishing and maintaining robust data governance practices. Emi Labs offers a competitive salary, stock options, flexible remote-first work culture, vacation time, holiday time off, a physical wellness program, English classes, and access to an internal library. The ideal candidate will have 5+ years of experience in analytics or data engineering roles and strong technical skills in various areas, including SQL, Python, and cloud platforms. This is a dynamic startup with significant growth opportunities.

Requirements

• 5+ years of experience working in analytics or data engineering roles
• Strong technical skills in data engineering, data architecture, and analytics
• Proficiency in SQL, Python, R, cloud platforms (AWS, GCP, Azure), DBT, Airflow, and data visualization tools
• Development: testing, CI/CD, repository management, shell scripting, terminal usage, etc
• Proven ability to communicate complex analytical concepts in a clear and accessible way
• Proactive, curious mindset with a passion for using data to solve real business problems

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure to support real-time analytics, data-driven decision-making, and machine learning models
• Work closely with product, engineering, and leadership teams to ensure data-driven strategies are incorporated into product development and operational processes
• Establish and maintain robust data governance practices to ensure data quality, integrity, and compliance with relevant regulations

Preferred Qualifications

• Airbyte, Cosmos
• AWS: RDS, Redshift, EKS, S3, ECR, IAM, Lambda, Route 53, SSM
• Infrastructure: Cost management, networking, virtualization, Kubernetes, Karpenter, Grafana
• Concepts of FinOps and DataOps

Benefits

• Competitive salary: Salaries paid in USD
• Stock Options: Stock Options Package as part of your compensation package
• Flexible remote-first work culture. We work towards goals*
• Vacations: 3 weeks of vacation
• Holiday season: Week off between Christmas and New Year's Eve
• Physical Wellness program: We have partnered up with Gympass, a well-being platform that offers the best coverage of top gyms, studios, and activities for you to choose from
• English Classes: Improve your English skills with our in-company teachers
• Internal library: Get all the free books - digital, physical - you like, anytime