Snowflake Data Engineer

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 94,000 - 107,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior Snowflake Data Engineer in Atlanta to design, develop, and maintain enterprise data solutions. You will work on Snowflake-based data warehouses, ETL/ELT pipelines, and data governance, with exposure to Azure Data Factory and Airflow for orchestration.

Ideal candidates have 8+ years in data engineering and 5+ years with Snowflake, strong SQL and Python skills, and experience with data modeling and governance.

Qualifications

• 8+ years of overall data engineering experience.

Responsibilities

• Design, develop, and maintain scalable enterprise data solutions using Snowflake.

Skills

SQL

Python

Snowflake

Azure Data Factory

ETL/ELT

Airflow

Data modeling

Data warehousing

Data governance

Git

Jira

Confluence

Education

Bachelor’s degree

Tools

Azure Data Factory

Airflow

Informatica

Atomic

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title:Snowflake Data Engineer
Location: Atlanta,GA
Duration: 12 Months + Extension
Bill Rate: $68/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

We are seeking an experienced Senior Snowflake Data Engineer with strong expertise in designing, developing, and maintaining enterprise-level data solutions. The ideal candidate should have at least 8 years of overall data engineering experience, including 5+ years of hands‑on experience with the Snowflake platform.

The candidate must have strong SQL and Python development skills, along with experience in data warehouse design, query optimization, ETL/ELT development, and data pipeline orchestration. Knowledge of Azure Data Factory and other Azure data services is also required.

• Design, develop, and maintain scalable enterprise data solutions using Snowflake.
• Build and optimize data warehouses, data models, and data pipelines.
• Develop complex SQL queries, stored procedures, and analytical functions.
• Write Python scripts for data processing, transformation, and automation.Design and implement ETL/ELT workflows using Snowflake and Azure Data Factory.
• Develop and manage data orchestration workflows using Airflow, Informatica, or Atomic.
• Analyze and optimize SQL queries to improve performance and reduce processing time.
• Work with Snowflake architecture, including databases, schemas, warehouses, stages, and data loading.
• Implement data integration and transformation processes across multiple source systems.
• Maintain metadata, data lineage, and data governance standards.
• Use Git for source control and collaborate through Jira and Confluence.
• Troubleshoot data pipeline failures, performance issues, and data quality problems.
• Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
• 8+ years of experience in Data Engineering and enterprise data solutions.
• 5+ years of hands‑on experience with Snowflake.
• Strong expertise in SQL and advanced SQL analytical functions.

Required Technical Skills:

• 8+ years of experience in Data Engineering and enterprise data solutions.
• 5+ years of hands‑on experience with Snowflake.
• Strong expertise in SQL and advanced SQL analytical functions.
• Snowflake Data Warehouse design and development.
• SQL Query Performance Tuning and Optimization.
• Azure Data Factory (ADF) and Azure Data Services.
• Workflow orchestration using Apache Airflow, Informatica, or Atomic.
• Metadata Management and Data Lineage.
• Git, Jira, and Confluence.
• Strong debugging, troubleshooting, and problem-solving skills.

Good to Have Skills:

• Snowflake Streams and Tasks.
• Snowpipe and Snowpipe Streaming.
• Snowflake Time Travel and Zero-Copy Cloning.
• Snowflake Stored Procedures and Secure Views.
• Data Modeling and Data Warehousing concepts.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.