at MILLIMAN, INC. in Chicago, Illinois, United States
Job Description
Description
Company Overview:
Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry's most trusted solutions for healthcare intelligence. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is impacting healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.
MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.
Position Summary:
We are seeking a seasoned Senior Data Engineer proficient in Spark and SQL to spearhead the design and enhancement of our data infrastructure. This role is pivotal in managing large-scale data operations with agility and precision. While not mandatory, expertise in Python, a background in healthcare data, and familiarity with Power BI Semantic Models would be advantageous and highly regarded. The ideal candidate will demonstrate a passion for data-driven solutions and a dedication to maintaining exceptional standards.
Primary Responsibilities:
Develop and uphold scalable data architectures utilizing Databricks and Spark.
Execute advanced data manipulation and querying tasks using SQL.
Optimize data pipelines and architectures, leveraging Spark for high-volume data processing.
Collaborate closely with analytics and business teams to craft efficient data models for business intelligence tools.
Uphold high standards of data quality, security, and regulatory compliance.
Leverage Python proficiency, healthcare data expertise, and Power BI Semantic Models to enhance data solutions and reporting capabilities.
Stay informed about emerging trends and technologies in data engineering, particularly relating to Spark and business intelligence tools.
Ability to self-manage and drive the implementation of small-scale data engineering projects.
Preferred Skills and Experience:
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field preferred; however, substantial relevant experience will be considered.
Minimum of 5 years of proven experience as a Data Engineer, with strong command of Databricks/Spark.
Proficiency in SQL.
Experience with Power BI Semantic Models, Python, and healthcare data is desirable.
Proven ability in data modeling, warehousing, ETL pipelines, and cloud services.
Strong analytical acumen, problem-solving skills, and effective communication abilities.
Experience with AI software development productivity tools is a plus
Compensation and Location:
The salary range is $96,000 to $194,000, depending on relevant factors, including but not limited to education, work experience, certifications, location, etc. This role can be located remotely within the U.S.
What makes this a great opportunity?
Join an innovative, high growth company with a solid industry track record
Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions
Enjoy significant visibility in your work on a small team and be recognized for your wins
Work for a company that values your wellbeing and professional growth, offering a flexible work... For full info follow application link.
Milliman is an equal opportunity employer
Our company, with the full support of our Chief Executive Officer, is fully committed to the maximum utilization of all human resources and the goals of Equal Employment Opportunity and Affirmative Action. We recruit, hire, train, and promote, and consider qualified applicants for employment, in all job titles without regard to age, ancestry, citizenship status, color, creed, familial status, genetic information, marital status, national origin, political ideology, race, religion, sex, sexual orientation, gender identity, status as an individual with a disability, or veteran status, including qualified disabled veterans, Armed Forces service medal veterans, recently separated veterans, and active duty wartime or campaign badge veterans; and shall not discriminate against any individual, or any other characteristic protected by law.
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