Data Engineer — Cloud & Analytics Pipelines
Jobvous Staffing Solutions
Houston, TX · Posted October 15, 2026
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Pay compared with the market
This listing does not state pay. Across 300 open data engineer listings that state pay, the middle half runs $115,000 to $157,000 and the median is $134,000.
Listed pay is what employers advertise, not what people are paid.
About the job
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