Data EngineerPIXIE • Houston, TX, United States
Data Engineer
PIXIE • Houston, TX, United States
[job_card.1_day_ago]
[job_preview.job_type]
- [job_card.temporary]
[job_card.job_description]Highly curious technology expert with a continuous learning mindset. Strong data-domain expertise with deep technical focus. Excellent communicator who can engage both technical and non-technical stakeholders. Trusted advisor to leadership and cross-functional teams. Strong driver of execution, quality, and delivery excellence. Cloud Platforms : AWS, Azure, SAP – Expert Level ELT : Expert Level Data Modeling : Expert Level Data Integration & Ingestion Data Manipulation & Processing DevOps & Version Control : GitHub, GitHub Actions, Azure DevOps Data & Analytics Tools : Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Experience leading projects or running a Scrum team. Experience with BPC and Planning. Exposure to external technical ecosystems. Documentation using MkDocs.
Job Title : Senior Software Engineer / Quant Developer (JG4 Level)
Location : Onsite – Downtown Houston (OTM)
Start Date : January 15, 2026
Duration : Long-term contract with possibility of extension
Overview :
The Senior Data Engineer will design and build robust data foundations and end-to-end data solutions to enable the business to maximize value from data. This role plays a critical part in fostering a data-driven culture across both IT and business stakeholder communities. The Senior Data Engineer will act as a subject matter expert (SME), lead solution design and delivery, mentor junior engineers, and translate Data Strategy and Vision into scalable, high-quality IT solutions.
Key Responsibilities
- Design, build, and maintain enterprise-grade data foundations and end-to-end data solutions.
- Serve as a subject matter expert in data engineering, data modeling, and solution architecture.
- Translate business data strategy and vision into scalable technical solutions.
- Mentor and guide junior data engineers and contribute to continuous capability building.
- Drive the rollout and adoption of Data Foundation initiatives across the business.
- Coordinate change management, incident management, and problem management processes.
- Present insights, reports, and technical findings to key stakeholders.
- Drive implementation efficiency across pilots and future projects to reduce cost, accelerate delivery, and maximize business value.
- Actively contribute to community initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP).
- Collaborate effectively with both technical teams and business leaders.
Key Characteristics
Mandatory Skills
Optional / Nice-to-Have Skills
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