Data Platform Engineer

The Data Platform Engineer will be responsible for designing, implementing, and managing our data platform. This role involves working closely with our Data team to ensure the confidentiality, integrity, and availability of our data systems. The ideal candidate will have a deep understanding of backend data engineering, strong knowledge in data governance and security, and experience with Databricks. You will collaborate closely with data scientists, data engineers and other business stakeholders to ensure seamless data integration, management, security and delivery. Additionally, you will provide mentorship, and guidance to junior members of the data engineering team or cross functional team members.

Essential Duties and Responsibilities

• Assist in the maintenance and continuous integration and deployment of our data platform and its various services
• Create development tools and SDKs that enable data engineers and scientists to integrate with our platform and its various services
• Support data pipeline orchestration and CI/CD
• Lead end-to-end development of data tooling and frameworks, using modern technologies such as Kubernetes, Rust, Airflow, Databricks, and Spark.
• Ensure tight-knit collaboration with leadership, cross-functional stakeholders and engineers across the organization
• Collaborate with leadership and senior engineers across the team to define the technical vision and build on the technical roadmap for our Data Platform

Requirements

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Experience using and administering distributed data systems (Databricks, Spark, Hive, Presto, etc.)
• Experience with Docker and Kubernetes (Helm, Terraform are a plus)
• Experience with GraphQL, service mesh, and schema federation is a major plus
• Experience working with data orchestration tools (Airflow, Dagster, etc)
• Cloud engineering experience is a must (Azure-specific is a plus)
• Must be proficient in python and at least one compiled language (Rust, C++, Go, Zig)
• Full stack development experience is a plus

Education and Experience
Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field. A master or higher degree is a plus

Minimum of 4 years of experience in platform engineering, with a focus on data platforms and infrastructure

For roles based in the United States that require access to hospital facilities, must be eligible for and maintain credentials at all required hospitals, including meeting any applicable physical requirements or vaccination requirements (including the COVID-19 vaccine, as applicable).

ATEC is committed to providing equal employment opportunities to its employees and applicants without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender expression, or any other protected status in accordance with all applicable federal, state or local laws. Further, ATEC will make reasonable accommodations that are necessary to comply with disability discrimination laws.

Salary Range

Alphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate’s qualifications, education, skill set, years of experience, and internal equity. $122,000 to $150,000 Full-Time Annual Salary