Jobs / Kim***
Data Engineer
Kim*** · Dallas, TX, United States
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Dallas, TX, United StatesOnsite
Remuneration
Not specified
Location
Dallas, TX, United States
Visa sponsorship
Sponsors visa
Job summary
Overview: We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
Benefits
Package, and company values have led to Kimley-Horn’s placement on the Fortune “At Kimley-HornComprehensive Health Coverage: Low-cost medical, dental, and vision insurance opTime Off: Personal leave, flexible scheduling, floating holidays, and half-day FFinancial Wellness: Student loan matching in our 401(k), and performance-based bProfessional Development: Tuition reimbursement and extensive internal trainingFamily-FriendlyNew Parent Leave, family buildingAnd childcare resources.
Qualifications
- develop data integration solutions, and support reporting and analytics initiatives.
- As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging
- and translate business needs into technical solutions.
- Support the design and enhancement of enterprise data models and data architecture.
- Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
- Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Contribute to data quality, governance, documentation, and engineering standards.
- Explore and leverage AI-assisted development
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
- 3+ years of professional experience in data engineering or a related technical role.
- Strong experience with SQL, Microsoft SQL Server and T-SQL development.
Responsibilities
- This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
- Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
- Build and maintain reliable data integrations from internal and external data sources.
- Partner with business users to gather
Skills
Communication
Degrees
AssociateBachelorDegree
Industry
EnergyInsuranceLogisticsManufacturing
Company size
EnterpriseSmb
Contract length
19 years