Data Engineer

Allia Health Group is an organization focused on redefining industry trends in anti-aging solutions. The Data Engineer will support the growth of the company's data platform by building and maintaining data pipelines and models that enable analytics and reporting.

Responsibilities:

• Assist in designing, building, and maintaining ETL/ELT data pipelines
• Support data ingestion from internal and external data sources
• Help maintain and improve data warehouse structures and data models
• Ensure data quality through validation, testing, and monitoring processes
• Support analytics and BI use cases by preparing clean, well-documented datasets
• Collaborate with senior engineers and stakeholders to understand data requirements
• Contribute to documentation and continuous improvement of the data platform
• Follow software engineering best practices including version control, testing, and CI/CD

Requirements:

• Ideal Degree(s): BSc or MSc in Computer Science, Data Engineering, Data Science, or a related field
• 2+ years of experience in data engineering, analytics engineering, or a related role (or equivalent hands-on experience)
• Strong SQL skills
• Experience with at least one programming language (Python preferred)
• Basic understanding of ETL/ELT processes and data modeling concepts
• Familiarity with cloud data platforms (Google BigQuery preferred; AWS/Azure acceptable)
• Ability to work collaboratively in cross-functional teams
• Strong attention to detail and interest in data quality
• Exposure to data orchestration or transformation tools (e.g., dbt, Airflow)
• Experience with BI or analytics tools (Looker preferred)
• Familiarity with Google Cloud Platform and modern data stacks
• Interest in analytics, AI, or machine learning use cases