Data Engineer
Backend Developer
Analytics
API
APIs
Automation Developer
Azure
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Engineer
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
Databricks
Design
Digital Marketing
GraphQL
Hr Technology
Information Technology (IT)
IT Services
Microsoft
Microsoft Fabric
Microsoft Office
Microsoft Power Platform
Office Tools
Power BI
Power Platform
Product Management
Programming
Programming Language
Programming Languages
Reporting and Analytics
REST APIs
Snowflake
Software Development
Spark
SQL
Visual Design
Web Api
Job Description
Dekker is hiring an experienced Data Engineer to help build and maintain data pipelines, analyses, and data products that clients can act on and that keep running for internal teams. This onsite role in Albuquerque, NM focuses on delivering reliable results through production-grade data workflows, thoughtful system design, and team collaboration.
What you’ll deliver
- Collaborate on assigned project work, contributing to planning, design, coordination, and delivery as responsibilities are defined
- Plan and develop landscape and site design aspects of projects, including investigation, evaluation, and technical recommendations aligned to client needs
- Provide consultation and work closely with the team during project planning, design, and coordination
- Apply advanced concepts and design practices to independently execute solutions
- Carry out and delegate workflows and task assignments to project teams to meet project requirements
- Mentor less experienced design team members with technical guidance
- Track and communicate project progress, accomplishments, challenges, and the support needed to complete responsibilities
Core requirements
- Bachelor’s degree in computer science, data science, data engineering, engineering, statistics, or a related discipline, or equivalent work experience
- 4+ years of relevant experience
- Strong proficiency in Python and SQL
- Experience building and operating production data pipelines, including orchestration, scheduling, and monitoring
- Experience with a cloud data platform such as Azure, Microsoft Fabric, Databricks, or Snowflake
- Experience working with REST or GraphQL APIs
- Experience with data visualization tools such as Power BI or Tableau, or visualization through code
- Working knowledge of statistics and analytical methods to select and defend an approach
- Prior experience in an Agile environment, including version control, testing, and code review
- Strong written, graphic, and verbal communication skills, including explaining technical results to non-technical audiences
- Excellent problem-solving, collaboration, and consultation skills
Preferred experience
- Experience in AEC, construction, facilities, or engineering data
- Bonus: exposure to Revit API, IFC, IoT, or GIS data
Technologies you’ll work with
Python, SQL, Azure, Microsoft Fabric, Databricks, Snowflake, REST, GraphQL, Power BI, Tableau, Revit API, IFC, IoT, GIS
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