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Senior Data EngineerStevens Transport • Dallas, Texas, United States
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Senior Data Engineer

Stevens Transport
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Jetzt Bewerben

Über

Job Summary Senior Data Engineer (Data Warehouse & BI Platform) is responsible for the end-to-end design, development, and optimization of Stevens Transport’s data warehouse architecture. This role will lead the transition from externally supported data platforms to an internally owned and scalable data ecosystem. The position requires deep expertise in data pipeline architecture, data modeling, and platform engineering, as well as the ability to work independently to build reliable, high-performance data systems. The Senior Data Engineer will partner closely with BI, analytics, and business stakeholders to ensure data is accurate, accessible, and structured for enterprise-wide consumption. The role is based onsite in Dallas, TX, and reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Key Responsibilities
Data Warehouse Architecture & Ownership
Architect, design, and maintain the enterprise data warehouse, including layered data models (raw/bronze → validated/silver → curated/gold datasets)
Lead the evolution of Stevens’ data platform to reduce reliance on external consulting partners
Establish scalable data architecture standards, governance, and best practices
Optimize data structures to support high-performance analytics and reporting
Design, build, and maintain robust, production-grade data pipelines that ingest data from internal and external systems
Develop complex transformations, validations, and data integration workflows
Ensure data reliability, integrity, and consistency across all datasets
Implement monitoring, logging, and alerting mechanisms for pipeline health
Leverage modern data platforms including Microsoft Fabric, pipelines, and dataflows to support enterprise data needs
Build scalable solutions that support BI tools such as Power BI and semantic modeling with DAX
Collaborate on the design of data models optimized for reporting and analytics
Support version control, CI/CD processes, and deployment standards for data engineering workflows
Design and implement integration strategies for legacy systems (e.g., AS400) into modern data
Translate operational system data into structured, analytics-ready datasets
Ensure continuity and accuracy of historical and operational data
Partner with BI developers, analysts, IT, and business leaders to define data requirements
Serve as a subject matter expert on data architecture and engineering best practices
Provide technical leadership and mentorship to junior team members as the function scales
Drive continuous improvement in data quality, documentation, and engineering standards
Role Emphasis
Full ownership of data warehouse architecture and backend engineering
Building internally sustained data capabilities
Driving data reliability, scalability, and performance
Acting as a senior technical IC with strategic influence
Minimum Qualifications
Advanced expertise in SQL for data transformation, modeling, and performance optimization
Strong experience designing and managing data warehouse architectures and ETL/ELT pipelines
Hands‑on experience with Microsoft Fabric, including pipelines, dataflows, and data engineering capabilities
Experience supporting BI tools such as Power BI and working with DAX for data modeling and reporting
Proven experience integrating and working with legacy systems such as AS400
Strong understanding of data lifecycle concepts including ingestion, transformation, validation, and curation
Ability to operate both independently and collaboratively in building reliable, high-performance data systems
Preferred Qualifications
Experience transitioning organizations from consulting‑built platforms to in‑house data ownership
Experience with cloud data platforms (Azure preferred) and distributed data processing frameworks
Experience with Python, PySpark, or similar for data transformation workflows
Familiarity with data governance, security, and compliance practices
Experience in logistics, transportation, or supply chain environments
Skills & Abilities
Data Architecture
SQL Development
Microsoft Fabric
Power BI & DAX
Data Warehousing
ETL / ELT Pipelines
Data Modeling
Legacy System Integration (AS400)
Data Quality & Governance
Analytical Thinking
Problem Solving
Communication & Collaboration
Work Experience
7+ years of progressive experience in data engineering, data architecture, or analytics engineering
Demonstrated ownership of enterprise‑scale data platforms (or equivalent combination of education and experience)
Education
Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related field (or equivalent experience)
Physical Demands
Prolonged periods sitting at a desk and working on a computer
Ability to work in an office environment at Stevens Transport HQ in Dallas, TX
Equal Employment Opportunity In compliance with Federal and State equal employment opportunity laws, qualified candidates are considered for all positions without regard to race, color, religion, sex, national origin, age, marital status, veteran status, non‑job‑related disability, or any other protected group status.
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  • Dallas, Texas, United States

Sprachkenntnisse

  • English
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