Data Engineer 2 (Full-Time) Special Projects Department
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Job Location:
Salt Lake, UT - USA
Monthly Salary:
Not Disclosed
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Design and maintain scalable data solutions that enable analytics AI-driven insights and decision-making across temple construction and operations. This role combines data engineering and analytics engineering supporting data pipelines AI-ready datasets and business-ready insights in partnership with business operations teams
Responsibilities
- Build and maintain data pipelines from project and property systems
- Support cloud data platforms and data storage environments
- Organize data to support reporting across assets and projects
- Combine and structure data from development construction and operations
- Create and improve dashboards and reports for tracking performance (Power BI Tableau etc.)
- Work with construction and facilities teams to deliver data solutions
- Ensure data is accurate consistent and reliable
- Improve data processes for speed and efficiency
- Support lifecycle data tracking (design construction operations maintenance)
- Establish documentation standards and data engineering best practices
- Prepare clean usable datasets for analytics and AI use
- Perform exploratory data analysis to identify trends anomalies and insights
- Help define and standardize key performance metrics (KPIs)
- Collaborate on predictive and AI use cases (e.g. maintenance cost energy forecasting)
Qualifications
- Bachelors degree in a related field or equivalent field experience
- 35 years in data engineering analytics engineering or related field supporting property development and facility operations data
- Experience working with AI/ML concepts data preparation for models or supporting predictive analytics use cases
- SQL (advanced querying transformations performance tuning)
- Python (or similar) for data processing automation and basic ML integration
- ETL/ELT pipeline development (batch and/or streaming)
- Cloud data platforms (AWS Azure or GCP)
- Data modeling (dimensional/star schema)
- Data transformation frameworks (e.g. dbt or similar)
- BI and reporting tools (Power BI Tableau or similar)
- Exploratory data analysis (EDA) KPI/metric development and AI-ready
Required Experience:
IC
Key Skills
About Company
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings— giving Church members places ... View more
