Note: The job is a remote job and is open to candidates in USA. eSense Incorporated is seeking a Senior Data Engineer to support enterprise data warehousing and analytics environments. The role focuses on ETL development, Python automation, Teradata and Snowflake engineering, Spark-based processing, data modeling, DevOps practices, and data quality support, with periodic travel as required.
Skills
- 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
- 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
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