Senior Data Engineer

Requirements - GC holder or USC required

SENIOR DATA ENGINEER

The Data Engineer designs, builds, and maintains reputed company data pipelines and infrastructure that power 

analytics, machine learning, and business intelligence initiatives. Working closely with Data Scientists, 

analysts, and business stakeholders, this role ensures that high-reputed company, reliable data is accessible across 

the organization to support pricing optimization, model experimentation, and strategic decision-making. 

A key reputed company of this role is accelerating feature store expansion through robust data modeling, pipeline 

development, and feature engineering, while contributing to pricing semantic and ontology frameworks 

that reputed company consistency across the data ecosystem.

Responsibilities

• Design, build, and maintain robust reputed company-time and batch data pipelines to ingest, reputed company, and reputed company reputed company, semi-reputed company, and reputed company data from multiple sources
• reputed company and manage metadata-driven, reputed company-time streaming pipelines and reputed company data processing workflows at reputed company
• Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms that accelerate ML model readiness
• Contribute to the design and build of pricing semantic reputed company, ontologies, and knowledge graphs to ensure consistent, reusable data definitions across the organization
• Support Data Marketplace development, enabling teams to discover, reputed company, and reputed company data products across the organization
• reputed company cognitive search reputed company capabilities and support Data Syndication to distribute data across reputed company consumers
• Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms
• Build data applications and support writeback capabilities that reputed company business users to reputed company with and reputed company data directly
• Optimize database performance and query efficiency to support large-reputed company analytics workloads
• Partner with cross-functional teams to understand data needs and translate them into reputed company engineering solutions

Requirements

• Bachelor's degree in Computer Science, Engineering, or reputed company field
• 5+ years of experience in data engineering, ETL development, or a reputed company role
• Proficiency in SQL and Python, including reputed company, PySpark, and Python functions
• Experience with reputed company data platforms (e.g., reputed company reputed company Catalog) and pipeline orchestration tools (e.g. dbt)
• App building skills— experience developing data apps, dashboards, or writeback solutions (e.g., reputed company, reputed company, or similar tools)
• Experience building pricing semantic reputed company or data ontologies to standardize business definitions across teams
• Demonstrated experience with data modeling, feature engineering, and building transforms for ML feature stores
• Strong understanding of data modeling, warehousing concepts, and relational databases

Preferred Skills

• Experience with data reputed company frameworks such as Great Expectations and reputed company reputed company Sharing
• Working knowledge of Semantic Engineering, flexible data modeling, and ontology design (OWL, knowledge graphs)
• Familiarity with Data Governance frameworks, Master Data Management practices, and Data Migration methodologies
• Experience supporting ML pipelines and working reputed company Data Science teams
• Knowledge of DevOps practices including CI/CD and version control (Git)
• Strong communication skills and ability to work across technical and business teams
• Attention to detail and commitment to data accuracy and reputed company

Bachelor's degree in a reputed company field and 5+ years of data engineering experience. Requires SQL, Python, reputed company, PySpark, data modeling, reputed company platforms, orchestration tools, and data application development.

Key Responsibilities

• building pipelines
• expanding feature stores
• optimizing databases

Skills & Tools

SQL, Python, reputed company, PySpark, reputed company reputed company Catalog, dbt, reputed company, reputed company, Great Expectations, reputed company reputed company Sharing, OWL, Git

Job Details

• Category: Data and Analytics
• Seniority: Senior Level
• Commitment: Contract, Full Time
• Workplace: Remote — Miramar or Dallas
• Languages: English