Engineer, Data & Analytics, 1
Day & Zimmermann1 day ago
King of Prussia, PA, USAEntry Level
Base Salary
$75k - $122k/yr
Responsibilities
- Develop, test, deploy, and maintain governed enterprise data products in Microsoft Fabric, including ETL/ELT pipelines, notebooks, Lakehouse structures, and EDW fact and dimension models.
- Build and maintain reusable semantic models, governed DAX logic, Power BI solutions, and enterprise analytics assets.
- Develop and support web applications, APIs, AI agents, and AI application harnesses using approved frameworks and Microsoft Fabric capabilities.
- Analyze business requirements and workflows, create technical specifications, evaluate alternatives, and determine implementation approaches.
- Implement security, access, governance, logging, monitoring, alerting, error handling, documentation, and DEV-to-PRD deployment practices.
- Diagnose technical issues, troubleshoot production solutions, identify root causes, and recommend corrective actions.
- Maintain legacy data, reporting, and planning solutions, including SAP HANA, BusinessObjects, and SAP Analytics Cloud.
- Collaborate with stakeholders and experienced engineers to validate designs, resolve technical issues, and deliver functional solutions.
Requirements
- Bachelor’s degree in IT, Computer Science, Data Engineering, Machine Learning, or a related field, or equivalent related professional experience.
- Less than one year of relevant professional experience in data engineering, analytics engineering, application development, AI engineering, or a related discipline.
- Relevant internship, co-op, trainee, or comparable hands-on professional experience may qualify.
- Working knowledge of ETL/ELT, relational data, SQL, dimensional modeling, governed data products, and data engineering principles.
- Hands-on capability with Microsoft Fabric, pipelines, notebooks, Python/PySpark, Lakehouse architecture, semantic models, DAX, and Power BI.
- Working knowledge of Python, JavaScript/TypeScript, APIs, web frameworks, coding agents, AI agents, and AI application harnesses.
- Working knowledge of Git, CI/CD, testing, peer review, logging, monitoring, error handling, documentation, and production support.
- Knowledge of authentication, authorization, role-based access, row-level security, object-level security, and enterprise data protection.
- Ability to analyze requirements, troubleshoot issues, and communicate solution details with business and technical stakeholders.
Benefits
- Six-month initial assignment with a strong pathway to full-time employment upon successful completion.
- Medical/Rx, dental, and vision coverage.
- Life, AD&D, and disability insurance.
- Flexible spending accounts.
- 100% paid maternity leave for up to 12 weeks, parental leave, family leave, and other paid time off.
- Voluntary benefits and discount programs, including pet insurance.
Tech Stack
Categories
Data Engineering
About Day & Zimmermann
Day & Zimmermann provides construction, engineering, operations & maintenance, staffing, and security/defense services to government and industrial clients. The company is privately held, founded in 1901, and headquartered in Philadelphia, Pennsylvania. Its portfolio includes American Ordnance, a manufacturer of ammunition for the U.S. military, and it delivers large infrastructure and facility projects across energy and defense markets.