Contribute to technical design, architecture, and engineering best practices that improve reliability, maintainability, and operational excellence.
Partner effectively across engineering and business teams to translate complex requirements into production-ready analytical solutions.
Advance analytics engineering capabilities through automation, governance, observability, and continuous improvement practices.
Key Areas of Impact
Technical Depth and Delivery
Design, develop, and support enterprise data models, semantic layers, reporting datasets, and analytical applications.
Establish engineering best practices for data quality, testing, automation, observability, CI/CD, and release governance.
Architectural Scale
Design scalable analytics architectures that support current business needs and future growth.
Participate in solution design and architecture discussions to improve reliability, scalability, and maintainability.
Team Collaboration Scale
Partner with product managers, architects, platform engineers, and business stakeholders to deliver analytical solutions.
Support team success through code reviews, technical collaboration, mentoring, and knowledge sharing.
Influence and Advocacy
Define and standardize KPIs, business metrics, and semantic models that enable trusted enterprise reporting.
Promote engineering best practices and advocate for solutions that improve delivery quality and customer outcomes.
Scope of Vision
Translate complex business requirements into scalable analytical solutions with a focus on long-term supportability.
Identify opportunities to modernize analytics capabilities and evolve enterprise reporting platforms.
Scale of Business Understanding and Impact
Deliver reporting, dashboards, and visualizations that improve operational visibility and decision-making.
Ensure analytics solutions align with enterprise data governance, privacy, security, and compliance requirements.
This position is on-site and will reside in one of the areas listed below, depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.
Atlanta, GA
Dallas, TX
Detroit, MI
Laredo, TX
Newark, NJ
Qualifications for Success
Required
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent combination of education and experience.
5+ years of experience designing and implementing end-to-end enterprise data and analytics solutions.
Advanced experience with Microsoft Fabric and Databricks, including data engineering, data modeling, semantic-layer development, analytics architecture, and performance optimization.
Advanced proficiency with Power BI, including DAX, Power Query, semantic models, dashboards, and visualization best practices.
Experience building and supporting scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes using SQL, Spark, or PySpark.
Experience implementing Git-integrated CI/CD practices, automated testing, deployment pipelines, and release governance.
Experience supporting production analytics solutions, including monitoring, troubleshooting, and performance optimization.
Strong communication, collaboration, problem-solving, and technical leadership skills.
Preferred
Experience with Agentic AI development processes and practices.
Experience defining and governing enterprise KPIs, business metrics, semantic models, and reporting standards.
Experience implementing data quality, observability, privacy, security, and governance practices across analytics platforms.
Experience modernizing legacy reporting and analytics solutions.
Experience with Tableau, Python visualization libraries, Azure Data Services, or similar analytics technologies.
Experience measuring and improving engineering delivery through DORA metrics.
Microsoft Fabric, Power BI, Databricks, Azure, or related data and analytics certifications.
One or more of the following certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
Compensation and Benefits
Base Salary: $124,000 - $186,000
(The listed salary range is representative of the Newark market. Compensation may vary for positions based in Atlanta, GA, Dallas, TX, Detroit, MI, or Laredo, TX.)
Benefits: Expeditors offers competitive benefits to all full-time employees including:
Paid vacation
Holidays (10)
Flexible Days (2)
Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)
401(k) Retirement Savings Plan with employer match
Employee Stock Purchase Plan (ESPP)
Medical, Prescription Drug, Dental & Vision Coverage
Health Savings Account (HSA)
Life and Disability Insurance
Paid Parental Leave (additional eligibility criteria)
Dependent Care Flexible Spending Account (DC FSA)
Commuter Benefit
Employee Assistance Program (EAP)
Training and Personnel Development Program
Educational Assistance and Reimbursement
Position is full time (40 hours per week) Monday through Friday
All your information will be kept confidential according to EEO guidelines.
