I-Flow
Lead Data Engineer / Sr. Data Engineer
I-Flow - Houston, Texas, United States, 77246
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Overview
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Overview
Designation Lead Data Engineer / Sr. Data Engineer (2 positions)
Hybrid
- 3 days per week between Mon to Thursday. And every month first week it will be 4 or 5 days Work Location:
Houston, TX (Need Houston locals only) Experience:
6-8+ years in Data Engineering, with 2 or 3 years in Snowflake Core Skills:
Strong proficiency in SQL and scripting Key Responsibilities: Designing and implementing scalable data pipelines Building and managing data warehouses and data lakes Ensuring data quality and implementing data management best practices Optimizing data storage and retrieval processes Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives CI/CD orchestration and automation tools: Experience with tools such as Jenkins, GitHub, etc. Monitor and tune Snowflake query performance, warehouse usage, and credit consumption Design and enforce row-level access policies and dynamic masking in Snowflake for sensitive data fields (PII, financials) Enable data sharing with external teams using secure shares and reader accounts while maintaining strict RBAC controls Experience with ETL / Scheduler tools Strong interpersonal, written, and verbal communication skills to interact effectively across teams and stakeholders Designing semantic layers, aggregate tables, and data models (Star/Snowflake) to support scalable, governed, and business-friendly analytics architecture
Good To Have: Machine Learning and AI/LLM model training / implementation Background in data observability, lineage tracking, or metadata management tools
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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- 3 days per week between Mon to Thursday. And every month first week it will be 4 or 5 days Work Location:
Houston, TX (Need Houston locals only) Experience:
6-8+ years in Data Engineering, with 2 or 3 years in Snowflake Core Skills:
Strong proficiency in SQL and scripting Key Responsibilities: Designing and implementing scalable data pipelines Building and managing data warehouses and data lakes Ensuring data quality and implementing data management best practices Optimizing data storage and retrieval processes Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives CI/CD orchestration and automation tools: Experience with tools such as Jenkins, GitHub, etc. Monitor and tune Snowflake query performance, warehouse usage, and credit consumption Design and enforce row-level access policies and dynamic masking in Snowflake for sensitive data fields (PII, financials) Enable data sharing with external teams using secure shares and reader accounts while maintaining strict RBAC controls Experience with ETL / Scheduler tools Strong interpersonal, written, and verbal communication skills to interact effectively across teams and stakeholders Designing semantic layers, aggregate tables, and data models (Star/Snowflake) to support scalable, governed, and business-friendly analytics architecture
Good To Have: Machine Learning and AI/LLM model training / implementation Background in data observability, lineage tracking, or metadata management tools
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr