Data Engineer

Should have minimum 10 years of experience.
Must have strong experience with SQL.

MUST come from healthcare and have healthcare claim analysis experience (medical, pharmacy, etc.). Experience with Healthcare EDI transactions (837, 835, etc.) and / or Lab Data Strongly preferred.

++ESSENTIAL QUALIFICATIONS++

• 5 - 7 years' of direct data engineering experience, ideally with healthcare benefits management organization.
• Must have experience doing development work involving medical claims, pharmacy claims, and eligibility data and a conceptual understanding of healthcare benefit administration.
• Demonstrated experience with a variety of relational and NoSQL technologies (e.g., Azure SQL Server, PostgreSQL, Cosmos DB).
• Experience in a cloud platform (preferably Azure) and its related technical stack (e.g., Azure Data Factory, Synapse, DBT, Fivetran, Snowflake, Databricks, dremio, Airflow, NiFi).
• Extensive Azure Data Technology design and implementation experience: ADF, Azure, SQL, Azure Data Bricks, Azure Analysis Services, Data Lakes and Power BI.
• Strong technical understanding of data modeling, data mining, master data management, data integration, data architecture, data virtualization, data warehousing, and data quality techniques.
• Strong knowledge in SQL, modern programming languages (e.g., Python, R), and common data pipeline/data science libraries.
• Experience with Git repositories, CI/CD (preferably Azure DevOps), and software development tools, including incident tracking, version control, release management, and testing tools.
• Experience working with data governance and data security specifically in moving data pipelines into production with appropriate data quality, governance, and security standards, and certification.
• Adept in agile methodologies and capable of applying DevOps principles and Data Operations practices to data pipelines.
• Knowledge of CI/CD processes and source control tools such as GitHub and related dev processes.
• Experience with Snowflake and utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, and stored procedures.