Remote Snowflake Data Engineer - Scalable Pipelines

Barrow Wise Consulting, LLC; Rockville (MD); Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Excellent benefits

Growth opportunities

Job summary

Barrow Wise Consulting, LLC is seeking a Snowflake Data Engineer to design, build, and optimize Snowflake-based data pipelines for large-scale datasets. The role emphasizes secure cloud data environments and reproducible modeling workflows.

The ideal candidate will bring 6+ years of data engineering experience, 3+ years with Snowflake, SQL, and cloud data platforms, plus a Snowflake certification. Remote work is available, with collaboration in a team-focused environment.

Qualifications

• U.S. Citizenship required.
• Bachelor's Degree in a related field.
• 6 years of experience performing large-scale data engineering projects.
• 3 years using the Snowflake platform, SQL, and cloud data engineering.

Responsibilities

• Perform data warehousing and scalability.
• Architect, optimize, and secure the cloud data environment that powers all data modeling tasks.
• Build and maintain Snowflake-based pipelines that ingest large-scale datasets; support reproducible modeling workflows; and ensure security requirements.
• Design and maintain Snowflake warehouses, databases, schemas, and role structures.
• Implement Snowflake best practices for compute scaling, micro-partitioning, clustering, and query optimization.
• Automate ingestion, harmonization, and validation of federal datasets required for statistical modeling.
• Clean, harmonize, and validate datasets.
• Build automated reproducibility workflows and modeling pipelines.
• Conduct anomaly detection, sensitivity analysis, and cross-dataset validation.

Skills

Team collaboration

Attention to detail

Problem solving

Education

Bachelor's Degree in a related field

Snowflake Certification

Tools

Snowflake

SQL

Snowpark

Python/R

Job description

Barrow Wise Consulting, LLC is seeking a Snowflake Data Engineer to design, build, and optimize Snowflake-based data pipelines for large-scale datasets. The role emphasizes secure cloud data environments and reproducible modeling workflows.

The ideal candidate will bring 6+ years of data engineering experience, 3+ years with Snowflake, SQL, and cloud data platforms, plus a Snowflake certification. Remote work is available, with collaboration in a team-focused environment.