558 Data Analytics Engineer Jobs in New York, NY
Kforce is Hiring a Data Analytics Engineer Near New York, NY
- Extract, clean, and analyze large datasets from Epic EMR and other healthcare data sources
- Develop and maintain data pipelines to ensure the accurate and timely flow of data
- Perform data validation and ensure data quality and integrity
- Develop and implement rules-based logic to support various healthcare use cases, including One Stop Benefits, Charge Capture Automation, and Denials Optimization
- Create structured data models that facilitate the application of rules-based logic
- Design and implement structured data models for RAG to enhance data retrieval and generation processes
- Develop dashboards and visualizations to present RAG insights and other key performance indicators to stakeholders
- Utilize AI and ML techniques to enhance the accuracy and predictive capabilities of the RAG models
- Work closely with cross-functional teams, including data engineers, developers, and healthcare professionals, to understand project requirements and deliver data-driven solutionS
- Communicate complex analytical results and insights to non-technical stakeholders in a clear and concise manner
- Participate in agile development processes and contribute to sprint planning, reviews, and retrospectives
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field; Ph.D. is a plus
- 5 years of experience in data science, with a focus on healthcare analytics
- Proficiency in programming languages such as Python, R, and SQL
- Experience with data visualization tools such as Tableau, Power BI, or similar
- Familiarity with Snowflake or other cloud-based data platforms
- Knowledge of ETL processes and tools
- Experience with AI and ML techniques to enhance data analysis and RAG implementation but not limited to SQL, Excel and/or SAAS
- Proficient in various data catalog and visualizations tools, including but not limited to Tableau, PowerBI, Informatica, and/or Snowflake
- Knowledgeable in electronic medical records, preferably EPIC
- Proven experience working with Epic EMR data, including extraction, transformation, and analysis
- Strong background in implementing rules-based logic and RAG in a healthcare setting
- Design and implement predictive models using various machine learning techniques, including both supervised and unserved algorithms
- Utilize deep statistical analysis to understand and model complex public health data
- Develop and deploy Large Language Models (LLMs) for creating chatbots and extracting insights, enhancing user engagement and information dissemination
- Analyze clinical data to derive insights that improve patient care and clinical workflows
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Job Summary
Contractor
Business Services
$131k-161k (estimate)
07/03/2024
07/31/2024
kforce.com
FORT WORTH, TX
1,000 - 3,000
1962
Public
JOSH EDWARD
$1B - $3B
Business Services
Related Companies
About Kforce
Kforce is a professional staffing firm that matches job seekers and employers in the areas of technology, finance, accounting and healthcare.
The job skills required for Data Analytics Engineer include SQL, Python, Computer Science, Analysis, Insight, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Analytics Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Analytics Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Analytics Engineer positions, which can be used as a reference in future career path planning. As a Data Analytics Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analytics Engineer. You can explore the career advancement for a Data Analytics Engineer below and select your interested title to get hiring information.
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