- Location: Remote (EST)
- Employment Type: Full-Time (No-immigration support)
- Experience Level: 10+ Years in Data Engineering, with Snowflake expertise
Position Overview:
We are seeking an experienced and results-driven Senior Data Engineer to support the design, development, and optimization of Snowflake-powered data pipelines in a modern cloud-first data ecosystem. You will play a key role in building scalable ELT workflows, optimizing warehouse performance, and enabling secure, governed data access across business and analytics teams.
As a senior member of the data engineering team, you’ll partner with BI, ML, and DevOps teams to ensure high-performance integration, cost-efficiency, and robust data delivery standards.
Key Responsibilities
- ELT Development: Build high-performance, modular ELT workflows using SnowSQL, dbt, Airflow, or AWS Glue
- Data Modeling: Implement cost-effective schemas (e.g., star/snowflake/hybrid), clustering, and partitioning
- Performance Tuning: Optimize query performance through micro-partitioning, caching, and warehouse scaling
- Data Security: Configure RBAC, data masking, and secure data sharing across teams and external partners
- Cloud Integration: Integrate Snowflake with AWS (S3, Lambda, IAM) for automated and event-driven ingestion
- Analytics & ML Support: Enable BI tools (Looker, Tableau, Power BI) and ML workflows using feature engineering best practices
- Monitoring & Troubleshooting: Track performance, manage SLAs, and support production stability
- Documentation & Standards: Follow coding best practices, CI/CD workflows, and author technical documentation
Required Qualifications
- 10+ years of professional experience in data engineering with a strong cloud focus
- 3+ years of hands-on Snowflake experience, including SnowSQL, warehouse tuning, and governance features
- Deep understanding of SQL, query tuning, and large-scale analytics workloads
- Experience with dbt, Apache Airflow, or AWS Glue for orchestrating workflows
- Solid knowledge of AWS ecosystem, including S3, Lambda, IAM, and serverless components
- Familiarity with RBAC, dynamic masking, and secure data exchange within Snowflake
- Proven ability to connect Snowflake with BI tools and support ML model pipelines
- Strong communication skills—comfortable working cross-functionally and translating requirements into scalable data solutions
Preferred Qualifications
- Snowflake or AWS certifications (e.g., SnowPro Core)
- Experience using Snowpark (Python, Scala, or Java)
- Familiarity with data governance tools like Collibra or Alation
- Background in CI/CD pipelines and version control using Jenkins, GitLab, or GitHub
Benefits:
- Competitive salary and performance bonus
- Comprehensive health, dental, and vision insurance
- 401(k) with company match
- Flexible work arrangements
- Professional development and continuous learning opportunities
- Collaborative and innovative work environment
Our company is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Application Process:
Qualified candidates should submit their resume, and a brief description of relevant Snowflake projects or architectural contributions.
