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Robotics Technologies· Spotted 14h ago

Data Engineer

Location
Houston, TX, US
Level
Senior
Experience
5+ years
Job function
Software/Internet/AI › Data & Analytics › Data Engineer

Posted Nov 6, 2026Last confirmed open Nov 7, 2026

About this role

  • Job ID:

J54324

  • Job Title:

Data Engineer

  • Location:

Houston, TX

  • Duration:

10 Months + Extension

  • Domain Exposure:

Insurance

  • Client:

To Be Discussed Later

  • Employment Type:

W-2, 1099, C2C

  • Work Authorization:

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

Job Title: Data Engineer

Location: Houston, TX

Duration: 10 Months

Bill Rate: $78/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

Real Snowflake knowledge: the general structure and its capabilities, enough to tell the business “we could automate this” or “Snowflake can do this better.” Modernization, not migration.

dbt pipeline experience moving data into Snowflake

Strong communication and presence in a room. Modern automation thinking (Python, SQL, platform tooling), not Excel or VBA

Strong plus

Insurance background

Exposure to AI governance or AI strategy work

Comfortable with metadata work and populating a governance tool as use cases go live

Relationship builder who stays connected to business users after their use case is in production

ORIGINAL JOB DESCRIPTION :

We are seeking an experienced Data Governance Lead to help establish, implement, and scale an enterprise-wide data governance program supporting an evolving AI/ML and data modernization strategy. This is a high-impact opportunity for a hands-on professional who can develop governance frameworks, improve data quality and accessibility, and drive adoption across business and technology teams.

Ideal candidates will bring 5+ years of enterprise data governance experience, strong SQL proficiency, and hands-on experience with metadata management, data catalogs, and governance processes. Experience supporting AI/ML environments, cloud data platforms, and regulated industries will be especially valuable.

Equal Opportunity

Employer

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.

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