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SMU Business Intelligence and Analytics Logo

SMU Business Intelligence and Analytics

๐Ÿ’ต $170k-$195k
๐Ÿ“Remote - United States

Summary

Join SonderMind's Applied Science team as a senior hybrid Data Engineer and Data Scientist. This role blends technical management with hands-on contributions to our production data warehouse and computational science services. You will lead a team in designing, building, and managing platform APIs and services, ensuring high scalability and compliance. As a senior contributor, you will set coding standards and collaborate with other engineers and scientists. The position reports to the Head of Applied Science and involves strategic input on data infrastructure. Success is measured by the cost, performance, and usability of data services, integrating advanced computational models into the platform. This role requires strong technical skills, leadership experience, and effective collaboration.

Requirements

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field
  • Minimum seven (7) years experience as a Data Engineer (or similar role) with at least two years in a technical lead role managing version-controlled systems and team production deployments
  • Proficient with scripting and programming languages (Python, Java, Scala, etc.)
  • In-depth knowledge of SQL and other database-related technologies such as NoSQL
  • Experience with AWS cloud services (S3, RDS, Redshift, etc.)
  • CI/CD deployment experience with Helm Charts, Terraform, etc
  • Experience with data pipeline and workflow management tools such as Airflow
  • Strong negotiation and interpersonal skills: written, verbal, analytical
  • Motivated and influential โ€“ proactive with the ability to adhere to deadlines in a fast-paced environment
  • Self-starter with the ability to multi-task

Responsibilities

  • Design, construct, implement, test, and maintain highly scalable data systems (distributed databases, microservices, APIs, cloud storage, multi-agent AI frameworks)
  • Ensure timely and strategically aligned data engineering decisions and execution for product and scientific services
  • Oversee a team of data engineers, providing mentorship and growth opportunities
  • Champion partnership and collaboration with Data Science, Product, and Software Engineering
  • Ensure the creation and enablement of analytics and product experimentation plans within the product development lifecycle
  • Identify and integrate new engineering technologies and software tools to improve cost and performance
  • Translate complex functional and technical requirements into detailed architecture, design, and high-performing software applications
  • Create custom software components and analytics applications in Python and SQL, using Snowflake as the primary data warehouse
  • Troubleshoot data-related issues, perform root cause analysis, and communicate changes to leadership
  • Optimize and ensure end-to-end data warehouse performance

Preferred Qualifications

  • Ph.D. in Computer Science, Engineering, or a related field
  • Experience and familiarity with HIPAA and ISO security requirements
  • Experience with data science and analytics engineering principles is a plus
  • Previous people management experience
  • Knowledge of Docker and Kubernetes to manage data applications
  • Experience with AI/ML in GenAI or data software, including vector databases, will be a strong differentiator
  • Experience with Snowflake, DBT, BigQuery, Segment, etc

Benefits

  • A commitment to fostering flexible hybrid work
  • A generous PTO policy with a minimum of three weeks off per year
  • Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
  • Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
  • Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it
  • Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
  • 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
  • Travel to Denver 1x a year for annual Shift gathering
  • Fourteen (14) company holidays
  • Company Shutdown between Christmas and New Years
  • Supplemental life insurance, pet insurance coverage, commuter benefits and more!

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