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 seeking an experienced Data Engineer to build and maintain data pipelines, analyses, and data products that support billable data services and internal tools. The role emphasizes reliable delivery, actionable outputs, and keeping data products running.
Responsibilities
- Participate collaboratively in assigned project work with responsibilities as directed.
- Plan and develop landscape and site design aspects of assigned projects, including investigation, evaluation, technical analysis, and recommendations aligned with client needs.
- Provide consultation and collaborate with the team on the planning, design, and coordination of projects.
- Independently apply advanced concepts and design approaches.
- Execute and delegate workflows and task assignments to project team members to meet project requirements.
- Mentor less experienced design team members and provide technical guidance.
- Track and communicate project progress, accomplishments, challenges, and support needs to complete assigned responsibilities.
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, and experience integrating with REST or GraphQL APIs
- Experience with data visualization tools such as Power BI or Tableau, or code-based visualization
- Working knowledge of statistics and analytical methods sufficient to select and defend an approach
- Experience operating in an Agile environment, including version control, testing, and code review
- Experience with AEC, construction, facilities, or engineering data is preferred; Revit API, IFC, IoT, or GIS data is a plus
- Strong written, graphic, and verbal communication skills, including explaining technical results to non-technical audiences
- Excellent problem-solving, collaboration, and consultation skills
Location
Albuquerque, NM (onsite)
Technical Focus
- Python, SQL
- Azure, Microsoft Fabric, Databricks, Snowflake
- REST, GraphQL
- Power BI, Tableau
- Revit API, IFC, IoT, GIS