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 health.
Partner with Data Solutions Analysts, and line-of-business stakeholders in product ideation, requirements gathering, data reviews, ongoing data quality, and troubleshooting.
Develop or support reports, dashboards, and ad-hoc analysis supporting business consumers.
Test, debug, and performance tune data pipelines and end-user queries.
Maintain the highest level of data security and confidentiality, conforming to all HIPAA and contract requirements.
Perform any other job duties as requested.

Requirements

Bachelor's degree in computer science, engineering, mathematics, a related field, or equivalent combination of education and experience is required
A minimum of four (4) years’ data engineering-level SQL experience (including data modeling, profiling and cleansing, and building complex data sets) is required
A minimum of two (2) years’ experience building enterprise data solutions (data warehouses and data marts) is required
A minimum of two (2) years’ experience building customer facing data solutions (PowerBI, Tableau, Oracle, advanced Excel, etc.) is required
A minimum of two (2) years’ experience in healthcare data is preferred
Experience with Azure Databricks, Spark (PySpark/SparkSQL) and modern data lake/lakehouse platforms (Azure Data Lake, Snowflake, Hadoop).
Strong proficiency in Python for data engineering, including data transformation, pipeline development, and analytics support.
Advanced SQL expertise, including designing and optimizing ETL/ELT pipelines, and implementing data warehouse modeling (fact/dimension, star schema).
Experience building and maintaining data pipelines across staging, curated, and consumption layers.
Experience working with diverse data sources including ODS, flat files, EDI/HL7, APIs, and streaming data.
Familiarity with Azure ecosystem tools (Azure Data Factory, Synapse Analytics) is preferred.
Experience with Power BI / SSRS / Tableau for reporting and data visualization is added advantage.
Knowledge of healthcare data domains including patient, claims, billing, diagnosis, and procedure codes is preferred.
Experience with healthcare insurance data such as medical/pharmacy claims, HIE, utilization management (UM), and member demographics is preferred.
Proficient with the Microsoft 365 suite, including extensive use of Teams, SharePoint, and Excel.
Good written and verbal communication skills
Relevant Microsoft certifications (SQL, PowerBI, Azure) is preferred
Databricks certification and/or badging is preferred.

Benefits

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.
In addition to base compensation, you may qualify for a bonus tied to company and individual performance.
We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingdata profilingdata cleansingETLELTPythondata transformationdata pipeline developmentdata visualization

Soft Skills

communicationtroubleshootingcollaborationdata quality management

Certifications

Microsoft SQL certificationMicrosoft PowerBI certificationMicrosoft Azure certificationDatabricks certification