Snowflake Data Engineer — ETL, Cloud & Performance

MACHINE LEARNING TECHNOLOGIES LLC

Dallas (TX)

On-site

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking a Snowflake ETL Engineer to design, build and optimize data pipelines in Snowflake, leveraging DBT and ADF to ingest data from cloud sources and APIs.

You will balance performance, cost, and security, collaborate with engineers and analysts, and stay current with Snowflake updates while applying best practices in data modeling, transformation, and governance.

Qualifications

  • Bachelor's in CS or related field.
  • 3–5+ years DBA/Data Engineering experience; 2+ years Snowflake.
  • 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
ETL concepts

Education

Bachelor's in CS or related field

Tools

DBT
ADF
Terraform
Tableau
Power BI

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking a Snowflake ETL Engineer to design, build and optimize data pipelines in Snowflake, leveraging DBT and ADF to ingest data from cloud sources and APIs.

You will balance performance, cost, and security, collaborate with engineers and analysts, and stay current with Snowflake updates while applying best practices in data modeling, transformation, and governance.

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