Snowflake Data Engineer - ETL, Tuning & Security

Artifintech; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Snowflake DBA / Data Engineer in the Dallas area. You will manage Snowflake databases, schemas, roles, and warehouses, optimize compute resources, monitor performance, and automate tasks with SQL and Python.

You will support ETL/ELT pipelines (DBT, ADF), ingest data from cloud sources and APIs, perform data modeling and performance tuning, and ensure security, backups, and compliance.

Qualifications

• Bachelor's in CS or related field required.
• 3-5+ years DBA/Data Engineering experience; 2+ years Snowflake preferred.
• Strong SQL, performance tuning, data modeling.
• Experience with cloud platforms (Azure/AWS) and ETL tools (DBT, ADF).

Responsibilities

• Administration: Manage Snowflake databases, schemas, roles, and warehouses; optimize compute resources; monitor performance; automate tasks using SQL/Python; enforce security policies.
• Data Integration: Support ETL/ELT pipelines (DBT/ADF), data ingestion from cloud/APIs/databases, and efficient transformation strategies.
• Performance Tuning: Optimize queries, implement clustering/partitioning, and manage warehouse sizing for cost/performance balance.
• Security & Compliance: Ensure encryption, masking, backups, disaster recovery, and compliance with standards.
• Collaboration: Partner with engineers/analysts, troubleshoot issues, provide best practices, and stay current with Snowflake updates.

Skills

SQL

Performance tuning

Data modeling

Data engineering

Education

Bachelor's degree in CS or related field

Tools

Snowflake

Azure

AWS

DBT

ADF

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Snowflake DBA / Data Engineer in the Dallas area. You will manage Snowflake databases, schemas, roles, and warehouses, optimize compute resources, monitor performance, and automate tasks with SQL and Python.

You will support ETL/ELT pipelines (DBT, ADF), ingest data from cloud sources and APIs, perform data modeling and performance tuning, and ensure security, backups, and compliance.