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 looking for an experienced Data Engineer to help build and maintain data pipelines, analyses, and data products that support both billable data services and internal tools. In this onsite role in Albuquerque, NM, your work will be evaluated by outcomes clients can act on and by data products that continue to operate reliably.
What you’ll do
- Participate collaboratively in project work with responsibilities assigned to you.
- Plan and develop landscape and site design aspects of assigned projects, including investigation, evaluation, technical analysis, and recommendations aligned to client needs.
- Provide consultation and coordinate with the team during planning, design, and project coordination.
- Independently apply advanced concepts and design approaches to project requirements.
- Execute and delegate workflows and task assignments to project teams to meet stated requirements.
- Mentor and provide technical guidance to less experienced design team members.
- Identify and communicate project progress, accomplishments, challenges, and the support needed to complete responsibilities.
What you bring
- 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, plus experience with REST or GraphQL APIs.
- Experience with Power BI or Tableau, or code-based data visualization.
- Working knowledge of statistics and analytical methods sufficient to select and defend an approach.
- Experience working in an Agile environment, including version control, testing, and code review.
- Preferred: experience with AEC, construction, facilities, or engineering data. A plus includes exposure to Revit API, IFC, IoT, or GIS data.
- Strong written, graphic, and verbal communication skills, including explaining technical results to non-technical audiences.
- Excellent problem-solving, collaboration, and consultation skills.
Tools and technologies
Python, SQL, Azure, Microsoft Fabric, Databricks, Snowflake, REST, GraphQL, Power BI, Tableau, Revit API, IFC, IoT, GIS.
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