Data Engineer: Snowflake, AWS & Governance

MACHINE LEARNING TECHNOLOGIES LLC; Houston (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Data Engineer in Houston to design, build, and scale a modern cloud data platform centered on Snowflake and AWS. You will create trusted data assets and collaborate with governance and analytics teams to support AI and BI use cases.

The role focuses on ontology-driven modeling, metadata management, and policy-driven data access, with emphasis on enterprise-grade data quality and security.

Qualifications

• Proven experience building cloud data platforms and pipelines.
• Strong SQL and Python skills with data modeling focus.
• Hands-on Snowflake, AWS, and dbt experience required.

Responsibilities

• Design, build, and maintain scalable data pipelines across data sources.
• Implement ingestion via Informatica and modular dbt transformations.
• Model data in Snowflake and manage catalog-based access.
• Collaborate with governance teams on metadata and lineage.
• Translate domain concepts into reusable data products and ontologies.

Skills

Data engineering

SQL

Python

ETL/ELT

Snowflake

AWS

dbt

Iceberg

Data governance

Ontology modeling

Data modeling

Metadata management

Communication

Tools

Informatica

dbt

Snowflake Catalog

Snowflake Horizon

AWS

Iceberg

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Data Engineer in Houston to design, build, and scale a modern cloud data platform centered on Snowflake and AWS. You will create trusted data assets and collaborate with governance and analytics teams to support AI and BI use cases.

The role focuses on ontology-driven modeling, metadata management, and policy-driven data access, with emphasis on enterprise-grade data quality and security.