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Open nowFirst seen 23 hours ago

Data Engineer — Cloud & Analytics Pipelines

Jobvous Staffing Solutions, LLC8 open roles

Where
Houston, Texas, United States
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Your applicationOpen nowData Engineer — Cloud & Analytics PipelinesJobvous Staffing Solutions, LLC · Houston, Texas, United States
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 23 hours ago

The posting

Data Engineer — Cloud & Analytics Pipelines

Every AI system runs on clean data. Houston energy companies are building the pipelines that power their AI. They need you.

About the opportunity:

Jobvous Staffing Solutions is placing Data Engineers across Houston's energy, financial services, and technology companies. As AI adoption accelerates across every industry, the demand for engineers who can build reliable, scalable data pipelines has never been higher.

If you build the plumbing that makes AI actually work — the pipelines, lakehouse architecture, and data infrastructure — we have multiple opportunities for you in Houston right now.

Responsibilities:

Design and build scalable data pipelines using Databricks, Spark, and Airflow

Implement Medallion / Lakehouse architecture on Azure Data Lake or AWS S3

Build feature stores and data infrastructure to support ML model training

Optimize pipeline performance, reliability, and cost at scale

Collaborate with data scientists and ML engineers to productionize models

What we are looking for:

3+ years of data engineering experience with production pipelines

Strong Python and SQL proficiency

Databricks and Apache Spark experience required

Azure Data Lake, Azure Data Factory, or AWS Glue experience

Airflow or similar orchestration experience

Medallion / Lakehouse architecture experience is a strong differentiator

Energy sector domain experience is a plus — not required

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