Remote Senior Data Engineer

Summary

Join Restore Hyper Wellness, a revolutionary wellness company, as a Sr. Data Engineer to design, develop, and maintain robust data infrastructure, collaborating with various departments to ensure smooth data flow and deliver best-in-class services to clients.

Requirements

• Bachelor’s degree in a related field or equivalent experience
• 3-5 years of experience as a Data Engineer, Data scientist, or similar role
• Proficiency in SQL and cloud-based data platforms with emphasis in GCP or AWS
• Strong programming skills in SQL and Python. Experience with R preferred, but not required
• In-depth knowledge and familiarity with VCS such as GitHub
• Proficiency in Airflow for orchestration and workflow management
• Experience with DBT (Data Build Tool) or similar data transformation frameworks
• Familiarity with data governance, data security, and privacy best practices
• Understanding of data modeling, database design, and query optimization techniques
• Proficiency in data visualization tools such as Tableau, Power BI, or similar
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication and collaboration skills with the ability to self-manage
• Ability to handle multiple projects and prioritize tasks in a fast-paced environment

Responsibilities

• Define and implement the overall data strategy, ensuring alignment with business objectives and accounting for current OKRs
• Design and implement data models that meet both functional requirements
• Develop and maintain data integration processes, ensuring seamless data flow between systems
• Establish and enforce data quality standards and governance policies to ensure data integrity and compliance
• Monitor data pipelines, infrastructure components, and data processing jobs to identify and resolve performance issues
• Recommend and optimize system configurations, database queries, and data processing algorithms for improved performance
• Use performance monitoring tools and techniques to proactively address any issues and ensure optimal performance
• Evaluate and recommend new data technologies and tools that can improve data architecture
• Ensure data security and privacy by implementing robust data protection measures
• Design systems to handle increasing amounts of data efficiently and ensure high performance and reliability
• Maintain comprehensive documentation of data architecture, models, and processes, and establish standards for data management
• Build efficient and reliable data pipelines using tools such as BigQuery, DBT, Apache Airflow, Terraform or similar frameworks
• Extract, transform, and load data from various sources into data warehouses or data lakes. Implement data quality checks, data validation, and error handling mechanisms to ensure data integrity and accuracy
• Implement data governance best practices and ensure data security and compliance with relevant regulations. Define access controls, data retention policies, and data privacy measures to protect sensitive data
• Work closely with cross-functional teams, including analysts, and software engineers, to understand data requirements and provide data engineering support. Share knowledge and best practices with team members to foster a culture of learning and continuous improvement

Preferred Qualifications

• Experience with LLMs and machine learning concepts will be considered a strong plus
• Experience with CI/CD and Docker Deployments
• Familiarity with Terraform or IAC(infrastructure as Code) practices

Benefits

• A competitive salary plus annual bonus based on company performance
• Medical, dental and vision benefits effective within 30 days of hire
• 401k matching up to 4%
• Flexible PTO
• Casual dress code
• Fun, wellness-focused work environment
• Complementary and discounted therapies in-studio and in-office