About The Position

As a Data Engineer with WesTech, you will design, develop, and optimize scalable data solutions that support enterprise reporting, analytics, and operational decision-making. This role builds reliable data pipelines, implements dimensional data models, and partners with business stakeholders to deliver trusted datasets and analytics capabilities. The ideal candidate brings hands-on experience with modern data engineering tools and practices, including dbt, Microsoft Fabric, and Kimball dimensional modeling methodologies. Candidates for this position may be required to pass pre-employment and periodic screenings, including background checks, drug and alcohol tests, or other necessary assessments.

Requirements

  • Bachelor’s degree in a related field, equivalent practical experience, and/or relevant technical certifications.
  • 2–3 years of experience in data engineering, analytics engineering, software development, business intelligence, or a related technical role.
  • Hands-on experience building ETL/ELT pipelines, enterprise data models, and enterprise reporting or analytics solutions.
  • Strong SQL development and query optimization skills, with experience analyzing complex data issues and implementing scalable solutions.
  • Experience using dbt in a production environment and working with data warehousing, ELT architecture, and data pipeline orchestration.
  • Experience with Microsoft Fabric or related Microsoft data technologies, as well as cloud-based analytics platforms.
  • Strong understanding of Kimball dimensional modeling principles.
  • Experience with Git, source control, and development lifecycle practices.
  • Strong communication and stakeholder collaboration skills.

Nice To Haves

  • Experience with Python for automation, data processing, or analytics.
  • Exposure to data science, forecasting, or machine learning workflows.
  • Experience with Power BI or enterprise BI platforms.
  • Familiarity with ERP systems such as Business Central, SAP, Oracle, or similar enterprise systems.
  • Experience working in manufacturing, engineering, supply chain, construction, or project-based industries.

Responsibilities

  • Design, develop, and maintain scalable data transformation pipelines using dbt.
  • Build and optimize data solutions within Microsoft Fabric.
  • Develop dimensional models and enterprise data marts using Kimball methodology.
  • Collaborate with analysts, business stakeholders, and technical teams to gather requirements and deliver data solutions.
  • Implement data quality checks, testing, and monitoring processes.
  • Troubleshoot and resolve data pipeline performance and reliability issues.
  • Support CI/CD, deployment, and source control processes for analytics engineering workflows.
  • Improve documentation standards for data lineage, business rules, and technical architecture.
  • Contribute to data governance and master data management initiatives.

Benefits

  • Competitive salary and performance-based annual bonuses.
  • Dollar for dollar 401K match of 6%.
  • Flexible work hours.
  • Comprehensive health and wellness benefits package with an onsite and virtual medical facility
  • Company HSA contribution, Paid Parental Leave, Employee Assistance Program
  • Company-paid Life Insurance, Accidental Death and Dismemberment, and Long-term Disability.
  • PTO plan and Paid Holidays.
  • Tuition Reimbursement.
  • Company celebrations, summer parties, volunteer opportunities, games, prize drawings, and more!
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