Data Engineer
ConsultNet Technology Services and Solutions, Draper, UT, United States
Sr. Data Engineer
Salt Lake City, Utah
Direct Placement
$120K to $140K annual salary (DOE) bonus
Summary
Seeking a Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. This role will support analytics, data science, and machine learning initiatives by delivering high-quality, reliable data solutions.
Responsibilities
Build and maintain secure, scalable data pipelines, datasets, and workflows
Integrate and transform data from multiple structured and unstructured sources
Monitor, tune, and optimize pipeline performance
Collaborate with analysts and data scientists to deliver data-driven solutions
Troubleshoot and resolve production data issues
Review and improve ETL/ELT processes, data quality, and engineering efficiency
Evaluate and integrate new data sources to support business needs
Requirements
6 years of data engineering experience
(or 4 with Master's degree)
Bachelor's degree in Computer Science
, Engineering, or related field
Strong experience with
large datasets and data modeling (Kimball/Star/Snowflake)
Hands-on experience with
Snowflake, SQL Server, and ETL/ELT tools
Experience with
Azure (Data Factory, Synapse, Data Lake, Databricks)
Proficiency in
Python, Scala, Java, or similar
Experience with
CI/CD, Azure DevOps, and Agile environments
Bonus Skills
Master's degree in a related field
Experience with DBT, Delta Lake, and advanced cloud architecture
Strong background in software design and data platform architecture
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
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Salt Lake City, Utah
Direct Placement
$120K to $140K annual salary (DOE) bonus
Summary
Seeking a Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. This role will support analytics, data science, and machine learning initiatives by delivering high-quality, reliable data solutions.
Responsibilities
Build and maintain secure, scalable data pipelines, datasets, and workflows
Integrate and transform data from multiple structured and unstructured sources
Monitor, tune, and optimize pipeline performance
Collaborate with analysts and data scientists to deliver data-driven solutions
Troubleshoot and resolve production data issues
Review and improve ETL/ELT processes, data quality, and engineering efficiency
Evaluate and integrate new data sources to support business needs
Requirements
6 years of data engineering experience
(or 4 with Master's degree)
Bachelor's degree in Computer Science
, Engineering, or related field
Strong experience with
large datasets and data modeling (Kimball/Star/Snowflake)
Hands-on experience with
Snowflake, SQL Server, and ETL/ELT tools
Experience with
Azure (Data Factory, Synapse, Data Lake, Databricks)
Proficiency in
Python, Scala, Java, or similar
Experience with
CI/CD, Azure DevOps, and Agile environments
Bonus Skills
Master's degree in a related field
Experience with DBT, Delta Lake, and advanced cloud architecture
Strong background in software design and data platform architecture
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
#J-18808-Ljbffr