THE Aspen Group
Senior Data Engineer - Scheduling & Decisions Systems
Chicago, Illinois · Senior
Sponsorship not specified$129k-$152kDetected 30 days ago
PythonAlgorithmsBigQueryAWSGCPAzureMachine LearningAirflowData EngineeringData ScienceLLMsAI OrchestrationStatisticsForecastingPatient CareCollaborationMentoringDemand Planning
About the role
- Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet.
Responsibilities
- Design event-driven pipelines that ingest live patient interactions to power real-time inference to be able to calculate various propensity scores depending on the stage of patient journey
- Batch Processing: Maintain scalable batch processes for time-series analysis and other advanced statistical analysis as well as ML/LLM models that require heavy historical data aggregation and feature engineering
- Partner with cross-functional stakeholders to translate business requirements into technical specifications for ML solutions.
- Collaborate with Data Scientists and Operations Researchers to deploy forecasting and optimization models into production.
- Build Feature Stores that serve consistent features to both training and inference environments.
- Create clear, comprehensive documentation and support guides for newly implemented tools.
- Maintain scalable batch processes for time-series analysis and other advanced statistical analysis as well as ML/LLM models that require heavy historical data aggregation and feature engineering
Requirements
- 5+ years of Data Engineering experience with a focus on Python and complex SQL.
- Cloud Data Platform Mastery: Deep experience with AWS (Glue, Lambda, Kinesis), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery).
- Workflow Orchestration: Advanced proficiency with tools like Apache Airflow, Prefect, or Dagster.
- Deep experience with AWS (Glue, Lambda, Kinesis), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery).
- Advanced proficiency with tools like Apache Airflow, Prefect, or Dagster.
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field.
- Experience with scheduling, optimization algorithms, or decision-support systems.
- Familiarity with responsible AI practices and governance.
- Data Modeling: Experience designing dimensional models (Star Schema) and "One Big Table" structures for analytical performance.
- Education:
- Forecasting Knowledge: Familiarity with time-series data preparation (handling seasonality, lag features, moving averages).
- This role is onsite 4 days/week in our Chicago office (Fulton Market District)
- A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match
- Salary: $129,000-152,000/year
Skills
- Provide technical guidance and mentorship to junior engineers and data scientists.
Compensation
- $129,000-152,000/year
Benefits
- Stay current with advances in machine learning, data engineering, and software development, implementing industry best practices for reliability and maintainability.
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