Data Engineer
Lehi, Utah
Applications have closed
Entrata
Entrata property management software connects all of your property data and processes, allowing you to create better experiences for everyone. Better property management software.Responsibilities
- Design and implement data pipelines to extract, transform, and load data from various sources
- Write, maintain, and optimize SQL queries to extract and transform data
- Collaborate with data scientists and analysts to identify and address data-related issues
- Monitor and maintain data pipelines and infrastructure to ensure data integrity and availability
- Document data pipelines and processes
- Continuously seek to improve data quality and efficiency
Requirements
- Bachelor's degree in a related field (e.g. computer science, data science, engineering)
- Experience with SQL and at least one programming language (e.g. Python, Java)
- Strong problem-solving and communication skills
- Ability to work in a fast-paced, collaborative environment
Preferred Qualifications
- Experience with data warehousing and ETL processes
- Familiarity with data engineering frameworks and tools (e.g. Apache Spark, Hadoop)
- Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
- Experience with data visualization tools (e.g. DOMO, Tableau, Power BI)
But members of the Entrata team aren’t just intelligent and ambitious, they’re the living embodiment of another core Value: “Teamwork and Collaboration.” Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.
It’s a great place to work! Will you join us?
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data pipelines Data quality Data visualization Data Warehousing Engineering ETL GCP Google Cloud Hadoop Java Pipelines Power BI Python Spark SQL Tableau
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