eSense Incorporated

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a 6-month contract, offering a pay rate of "$X per hour." The position requires 5+ years in data engineering, expertise in Azure Data Factory, ETL development, and healthcare data experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 29, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Pipeline #Oracle #Data Warehouse #SQL (Structured Query Language) #Data Modeling #Data Engineering #GitHub #Informatica #Spark (Apache Spark) #Scripting #Shell Scripting #EDW (Enterprise Data Warehouse) #Mathematics #Batch #Informatica PowerCenter #Snowflake #FHIR (Fast Healthcare Interoperability Resources) #Azure #Statistics #Databases #Datasets #Python #DevOps #SSIS (SQL Server Integration Services) #Azure Data Factory #Security #Computer Science #Azure DevOps #REST (Representational State Transfer) #SQL Server #"ETL (Extract #Transform #Load)" #Databricks #Visualization #ADF (Azure Data Factory)
Role description
Sr. Data Engineer Project: We is currently seeking a hands-on Senior Data Engineer to support our AL EDW within the Enterprise Datawarehouse and Analytics group. The Data Engineer will work with large healthcare datasets and will translate client's business requirements into enterprise systems, applications, or process designs for large complex health data solutions. The role will drive and support initiatives for the AL EDW as well as participate in the wider EDW groups areas of data usage and governance, information management, privacy and security, SOA, data analytics and visualization and information modeling. Requirements: • 5+ years of Data engineering experience with a focus on Data Warehousing • 3+ years of experience creating working with Azure Data Factory (ADF) and Databricks • 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools. • 5+ years of experience with Relational Databases, such as Oracle, Snowflake, SQL Server, etc. • 5+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL • 3+ years of experience with Azure DevOps, GitHub, SVN, or similar source control systems • 2+ years of experience processing structured and un-structured data. • Experience with HL7 and FHIR standards, and processing files in these formats. • 3+ years analyzing project requirements and developing detailed specifications for ETL requirements. • Excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines. • Ability to adapt to evolving technologies and changing business requirements. • Bachelors or Advanced Degree in a related field such as Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Preferred skills: • 3+ years of batch or PowerShell scripting • 3+ years of experience with Python scripting. • 3+ years of data modeling experience in a data warehouse environment • Experience or familiarity with Spark and Azure Data Fabric. • Experience designing and building APIs in Snowflake and ADF (e.g. REST, RPC) • Experience with State Medicaid / Medicare / Healthcare applications • Azure certifications related to data engineering or data analytics. Ideal background Strong technical experience in ADF and Snowflake Top skills needed: 5+ years of Data engineering experience with a focus on Data Warehousing 3+ years of experience creating pipelines in Azure Data Factory (ADF) 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools. 5+ years of experience with Relational Databases, such as Oracle, Snowflake, SQL Server, etc. What experience will set candidates apart from one another? Strong technical experience in ADF and Snowflake