Senior Data Engineer

Required Qualifications • 5+ years of data engineering experience with a focus on enterprise data warehousing. • 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools. • 5+ years of Python development for data engineering and automation. • 5+ years of Teradata experience, including Teradata loader utilities. • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent). • Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server). • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python). • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD). • Proven solid analytical, problem-solving, and troubleshooting skills. • Periodic travel may be required based on project or customer needs. Preferred Qualifications • Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field. • Azure certifications related to data engineering or analytics. • Experience supporting State Medicaid EDW or MMIS analytics environments. • Healthcare or public sector analytics experience (Medicaid / Medicare preferred). • Data modeling experience in enterprise data warehouse environments. • Scripting experience (PowerShell, Bash) for automation and orchestration. • Experience designing or consuming APIs (REST) within data platforms. • Familiarity with data quality frameworks, reconciliation, and audit support.