Adoreal

Adoreal

Adoreal is a comprehensive aesthetics companion that offers a range of services from quick maintenance treatments to long-term procedures. They provide information, reminders, and support throughout the aesthetic journey, along with easy access to medi...

Health Care Providers & Services
1-10

Description

  • Own the target architecture for the Amazon Redshift warehouse and curated data layer.
  • Design and maintain a semantic layer with standardized metric definitions, formulas, lineage, and business rules.
  • Establish standards for naming, labeling, data quality, lineage, and enumerated values.
  • Build configuration-driven support for practice-specific business rules.
  • Pair with data engineers, review code, and establish engineering standards.
  • Build the gold layer and baseline reporting library for patient journeys, capacity, and growth.
  • Extend infrastructure as code, CI, and schema-drift testing across warehouse pipelines.
  • Structure unstructured clinical records, including HTML and PDF journals, notes, and forms.
  • Automate migration profiling, reconciliation, data quality checks, and report provisioning.
  • Apply AI to enrichment, anomaly detection, metadata generation, schema mapping, record matching, and natural-language querying.

Requirements

  • 8+ years of data engineering experience, including end-to-end ownership of warehouse or lakehouse architecture.
  • Deep SQL and Python experience with a modern cloud warehouse; Redshift, Snowflake, BigQuery, or Databricks experience.
  • Hands-on experience building a semantic or metrics layer with dbt or an equivalent tool.
  • Production experience with AWS orchestration and infrastructure as code, such as Airflow and Terraform.
  • Experience designing and maintaining dimensional or Data Vault models in production.
  • Experience implementing data quality testing and observability with dbt tests, Great Expectations, or equivalent tools.
  • Daily experience using coding agents and AI tooling in engineering work.
  • Experience applying AI to data platforms, including classification, entity matching, anomaly detection, or natural-language querying with measurable evaluation.
  • Experience working with regulated data, such as healthcare or financial data.
  • Must be authorized to work without visa sponsorship and reside in CA, CO, FL, GA, IL, MN, OK, OR, PA, RI, TX, UT, or WA.

Benefits

  • Healthcare coverage for employees and families.
  • 401(k) plan.
  • Paid time off and paid holidays.
  • Company equity opportunities for every employee.
  • Fully remote work with flexible schedules.
  • Collaborative culture with growth and promotion opportunities.

Interested in this position?

Apply directly on the company website

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