Senior Data Engineer

Senior Data Engineer (Contract)

We are looking for a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions in a hybrid work environment. The ideal candidate will have strong expertise in Python and Snowflake, with a focus on pipeline automation, data security, performance optimization, and analytics support.

Key Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines using Python, SQL, and Snowflake
• Develop and manage Snowflake data warehouses and lakes to support business analytics
• Implement security features such as row-level access and dynamic masking for sensitive data
• Monitor Snowflake query performance, warehouse usage, and credit consumption for cost efficiency
• Collaborate with data science and analytics teams to support machine learning and analytical initiatives
• Create semantic layers and dimensional data models (Star/Snowflake schemas) for BI tools
• Automate workflows using CI/CD pipelines (e.g., Jenkins, GitHub) and orchestration tools (e.g., Airflow, dbt)
• Facilitate secure external data sharing through Snowflake shares and reader accounts

Required Technical Skills

• Strong Python skills for ETL scripting, automation, and data transformation
• Deep knowledge of Snowflake architecture, security policies (RBAC, masking), and performance tuning
• Advanced SQL skills for writing, optimizing, and debugging complex queries
• Hands-on experience with data orchestration and ETL tools such as Airflow, dbt, or Informatica

Preferred Skills

• Experience integrating with ML/AI/LLM models
• Familiarity with data observability tools such as Great Expectations
• Exposure to metadata management platforms like DataHub or Collibra

Soft Skills

• Excellent communication and collaboration skills
• Strong problem-solving abilities with a focus on data quality and pipeline scalability

Work Model

• Hybrid work arrangement: 3 to 4 days onsite per week in Houston, TX