Senior Data Engineer

🔥 15 hours ago

🏄 California, Colorado, +10 more states – Remote

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💵 $110k - $135k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 3%

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Logo of Adoreal

Adoreal

51 - 200 employees

Founded 2022

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Adoreal is your health and beauty companion, specializing in cosmetic and reconstructive surgery as well as aesthetic procedures. As the first integrated platform, we provide comprehensive resources for personalized treatment experiences, helping clients control their journey in health and beauty. Through innovative tools like a 3D simulator and personalized assessments, Adoreal prioritizes transparency, safety, and convenience in every step of the treatment process, ensuring that clients receive tailored solutions to meet their unique desires and needs.

📋 Description

• Own the target architecture for the warehouse and curated layer, document design decisions, and determine future architecture direction • Design a semantic layer as a single metric repository with definitions, formulas, and reasoning • Establish standards for naming, labeling, lineage, enumerated values, and business-rule history • Build a configuration model for practice-specific business rules • Pair with data engineers daily and review work • Build the gold layer and baseline report library for new practices, covering patient journey, practice capacity, and growth • Extend infrastructure as code and CI across the warehouse and pipelines, including schema-drift tests • Structure unstructured clinical records, including HTML and PDF journals, notes, and form submissions • Automate migration profiling, delta reconciliation, data quality checks, and report provisioning • Apply AI in pipelines for enrichment, anomaly detection, metadata generation, data dictionaries, and enum catalogs • Make the warehouse safe and useful for AI through cataloging, semantic querying, evaluation sets, and patient-data tool governance • Develop repeatable migrations with profiling, delta matching, schema mapping, record matching, and rejected-record reporting • Partner with engineering on platform changes and warehouse-platform change contracts • Work with product and commercial leadership to define meaningful business metrics

🎯 Requirements

• 8+ years in data engineering, including end to end ownership of a warehouse or lakehouse architecture, from ingestion through to the curated layer that people actually query • Deep SQL and Python, with production experience on a modern cloud warehouse • Experience with Redshift, Snowflake, BigQuery, or Databricks • Hands-on experience building a semantic or metrics layer using dbt or an equivalent tool • Production experience with orchestration and infrastructure as code on AWS, such as Airflow and Terraform • Experience designing and maintaining dimensional or Data Vault models in production • Data quality testing and observability using dbt tests, Great Expectations, or an equivalent • Daily use of coding agents and AI tooling in own work • AI applied inside a data platform, such as LLM classification of unstructured records, entity matching, anomaly detection, or natural language querying over a semantic layer, with an evaluation set • Experience with regulated data, such as healthcare or financial data • Must have current and valid authorization to work in the country where applying • Adoreal is not offering visa sponsorship for this position

🏖️ Benefits

• Healthcare coverage for you and your family • 401k Plan • Paid time off (PTO) • Paid holidays • Company equity opportunities • Fully remote work environment with flexible schedules • Collaborative and thriving team culture • Promotions and growth opportunities • Disability accommodations available throughout the recruitment process

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