Data Solutions Engineer II (Managed Care - Clinical Focus) - R7266
📋 Role Overview & Responsibilities
This is Data Engineering with Purpose! Bring your strong ETL and architecture skills to our state-of-the-art Databricks platform and join us as we change lives- together! This role focuses upon clinical subjects within the health insurance industry: member conditions, social determinants of health, clinical programming, and population health. You will be hands-on in transforming and delivering datasets that impact the lives of millions of members within a dynamic, growing organization!
Job Summary
The Data Solutions Engineer II is responsible for bringing strong knowledge of Data Warehousing (including ETL, development, testing, ad-hoc reporting, and business analysis) to the Finance function and participating in the full life cycle of data and analytic solutions, broadly from requirements through ETL/ELT, production, consumption and ad-hoc reporting.
Essential Functions
Develop end-to-end data warehouse / data mart solutions, utilizing Databricks and Microsoft technologies. Patterns include traditional dimensional modeling (Kimball), and schema-less (big data) models.Develop data modeling expertise on one or more insurance-specific data / workflows, such as claims, care management (CM), utilization management (UM), eligibility, and population healthPartner with Data Solutions Analysts, and line-of-business stakeholders in product ideation, requirements gathering, data reviews, ongoing data quality, and troubleshootingDevelop or support reports, dashboards, and ad-hoc analysis supporting business consumersTest, debug, and performance tune data pipelines and end-user queriesMaintain the highest level of data security and confidentiality, conforming to all HIPAA and contract requirementsPerform any other job duties as requested
Education And Experience
Bachelor's degree in computer science, engineering, mathematics, a related field, or equivalent combination of education and experience is requiredA minimum of four (4) years’ data engineering-level SQL experience (including data modeling, profiling and cleansing, and building complex data sets) is requiredA minimum of two (2) years’ experience building enterprise data solutions (data warehouses and data marts) is requiredA minimum of two (2) years’ experience building customer facing data solutions (PowerBI, Tableau, Oracle, advanced Excel, etc.) is requiredA minimum of two (2) years’ experience in healthcare data is preferred
Competencies, Knowledge And Skills
Advanced SQL skills, including the ability to develop upon and maintain systems utilizing contemporary data warehousing patterns including ETL / ELT, fact and dimension modeling, and deploying analytic resources via staging tiers and consumption layersProficient working with and warehousing data from multiple sources, such as operational data stores (ODS), flat file, EDI/HL7, API, etc.Proficiency with the Microsoft data ecosystem (SSRS, SSIS, PowerBI)Experience with Azure Databricks and SparkSQL, or similar data lake platforms (Azure Data Lake, Snowflake, Hadoop, etc.)Working knowledge of Python, including Python-specific data modeling skill supporting data transformation and data scienceKnowledge of common healthcare data domains and processes (patient registry, billing, diagnosis, procedure codes)Preferred knowledge of healthcare insurance-specific domains, such as claims (medical and pharmacy), health information exchange (HIE), utilization management (UM), demographicsProficient with the Microsoft 365 suite, including extensive use of Teams, SharePoint, and ExcelGood written and verbal communication skills
Licensure And Certification
Relevant Microsoft certifications (SQL, PowerBI, Azure) is preferredDatabricks certification and/or badging is preferred
Working Conditions
General office environment; may be required to sit or stand for extended periods of time
Compensation Range
$69,400.00 - $111,000.00 CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type
Salary
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This position is located in Ohio, United States with potential relocation and sponsorship assistance depending on candidate qualifications.
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