1191 IT & Software Developer jobs in the US
Analytics Engineer - Python & SQL
$124,800 - 156,000
Jobot
Pacific Coast Highway 3101, Acton + Remote
$124,800 - 156,000
Requirements
Must:
- Epic Tapestry Certification required
- 5-8+ years of experience in data analytics, business intelligence, or data engineering in the Epic healthcare environment
- Proven track record in designing and developing analytic-ready datasets and enterprise DataMarts for reporting and operational analytics
- Hands-on experience with data lake or modern data platforms like Databricks, Azure Data Lake, or Snowflake
- Strong skills in developing and optimizing SQL-based data transformations across extensive, intricate datasets
- Demonstrated capabilities in creating dashboards and data visualizations using Tableau and/or Microsoft Power BI
- Proficient in Python for data processing, automation, and analytical workflows
- Experience in building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
- Familiarity with AI/ML or LLM-based applications like data summarization, classification, or insights generation
- Experience in healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
- Knowledge of regulatory or audit-driven reporting requirements (e.g., CMS, HEDIS, Medicare Advantage)
Responsibilities
- Design and manage analytic-ready datasets
- Lead the development of enterprise DataMarts
- Ensure alignment with standardized business definitions and CMS-driven logic
- Collaborate with Managed Care, Finance, and Operations to stabilize and implement requirements
- Build and refine data pipelines leveraging Databricks and enterprise data platforms
- Integrate data from various sources including Epic Clarity, Tapestry, claims, and external vendors
- Assist in the transformation and validation of large-scale datasets
- Automate data workflows to minimize manual involvement and enhance reliability
- Create and sustain Tableau and Power BI dashboards conforming to DSS standards
- Facilitate self-service analytics by providing curated datasets instead of ad-hoc reports
- Utilize Python for data transformation, automation, and advanced analytics workflows
- Incorporate LLM-based functionalities for summarization, classification, and insight generation
- Collaborate in the development of AI-driven data products to support operational decision-making
- Aid in the transition towards automated data pipelines and AI-enhanced datasets
Description
We are a prestigious healthcare organization recognized for our outstanding patient care across California, including Los Angeles, with a remarkable 35-year streak on the Best Hospitals National Honor Roll. Our mission is to provide leading-edge patient care, research, education, and community engagement, enhancing health and alleviating suffering for each individual. We offer a competitive salary of $60 - $75 per hour, comprehensive health benefits, retirement plans, free tuition for employees or immediate family after two years, generous time-off policies, well-being programs, and numerous professional development opportunities. Join us if you are passionate and eager to excel in a dynamic environment.
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How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1191 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
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Which companies are hiring for Machine Learning Engineer jobs in the United States?
micro1, Sirca Navigation, Seakeeper, Inc., Qogen, LLC, PACS, Funnel Boost Media, Space EA Systems among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 135 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 135 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.