DATA - SQL Data Engineer - 2 - Salt Lake City, UT

2 weeks ago


Draper, United States Addison Group Full time

Title:  Data Engineer - SQL, Azure, PowerBI
Location:  Draper, UT - Onsite 3 days weekly / Remote 2 days
Salary:  $90-110K
No sponsorship offered - Relocation available

The Data Engineer will ensure that data pipelines and data objects are high-performing, efficient, organized, and reliable.

Responsibilities:

  • Build and maintain secure, compliant data processing pipelines, tables, views, procedures and datasets
  • Integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions and/or performing analysis
  • Ensure that data pipelines tables, views, procedures, and datasets are high-performing, efficient, organized, and reliable
  • Design, develop, operate and tune data & analytics services (various)
  • Monitor the data pipelines and data stores responding to issues in a timely manner
  • Monitor, troubleshoot and resolve issues in production environments
  • Help business users and analysts understand what data are available and how to interpret them.
  • Coordinate with BI team to ensure the data solution integrates with solution. 
  • Attend regular meetings with and participating in  BI data warehouse design and development activities and adapting solution to be compatible. 
  • Collaborate with the COE data warehouse team, third-party consultants and third-party data/service providers during the development and maintenance of the data warehouse.

Requirements:

  • Bachelor’s degree in Computer Science or 1-5 years of directly-related work experience
  • 1-4+ years in designing, developing, operating and maintaining various data pipelines and data stores following best practices for the given environment
  • 1-4+ years of strong SQL scripting knowledge
  • 1-4+ years working with data processing languages, such as SQL, Scala or Python (or Similar)
  • Power BI or other similar reporting tool(s)
  • Knowledge of NoSQL databases
  • Experience with parallel processing and data architecture patterns
  • Experience with relational and dimensional data modelling
  • Good team player
Nice to have:
  • Cloud-based Data Solutions like Azure SQL Database/Azure Synapse Analytics/Snowflake
  • Experience with ETL tools like Azure Data Factory, DBT, SSIS (or similar)

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