Schrill Technologies Inc.

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and requires strong Snowflake expertise and prior experience with Exxon Mobil. Key skills include ETL, data quality, and Azure DevOps.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 21, 2026
🕒 - 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
Spring, TX
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🧠 - Skills detailed
#Data Architecture #Azure DevOps #Scala #Metadata #GIT #Data Management #Azure #Data Engineering #dbt (data build tool) #DevOps #Data Mart #Storage #Data Lineage #Monitoring #Clustering #Documentation #Snowflake #Security #Deployment #Data Quality #SSIS (SQL Server Integration Services) #"ETL (Extract #Transform #Load)" #Compliance #Data Governance #Cloud
Role description
The client is looking for Senior Data Engineer with Strong Snowflake experience and also someone who worked in the past with Prior Exxon Mobil experience is a mandatory Role & Responsibility • Design, develop, and deploy Snowflake data objects including schemas, tables, views, streams, tasks, and stored procedures to support enterprise data modernization initiatives. • Build and implement Data Products aligned with Data Mesh principles, including metadata management, data lineage, discoverability, governance, and Service Level Objectives (SLOs). • Migrate and re-engineer legacy MSSQL and SSIS-based data marts, integrations, and pipelines into Snowflake-native solutions. • Develop scalable ELT/ETL pipelines using Snowflake and dbt to support domain- driven data architectures. • Optimize Snowflake performance through warehouse sizing, clustering strategies, query tuning, storage optimization, and cost management best practices. • Collaborate with business and technical teams to translate transformation logic and business requirements into modern cloud-based data solutions. • Assess and modernize existing SSIS packages, converting them into Snowflake- native orchestration and processing frameworks. • Implement data quality controls, validation processes, and monitoring to ensure reliability and accuracy of Data Products. • Create and maintain technical documentation, metadata definitions, lineage information, and operational procedures for all delivered data assets. • Support CI/CD implementation using Azure DevOps and Git, following enterprise development and deployment standards. • Ensure compliance with enterprise security, data governance, documentation, and data management standards.