23 results (1 new)

Group by company

Galaxy i Technologies, Inc.

Lehi, Utah • Today

Contract, Third Party

Depends on Experience

Technology Data Solutions Engineer - Assistant Vice President

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Full-time

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Carrier Corporation

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Advocate Health Care

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Advocate Health Care

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Data Engineer III - Analytics/Information Solutions

Medical University of South Carolina

Remote or South Carolina • Today

Full-time

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Humana Inc

Remote or Kentucky • Today

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USD 129,300.00 - 177,800.00 per year

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McKesson Corporation

Remote or Columbus, Ohio • Today

Full-time

USD 106,500.00 - 177,500.00 per year

Data Engineer

Stitch Fix

Remote • Today

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Remote or Washington, District of Columbia • Today

Full-time

Data Delivery Senior Engineer

Fulton Bank

Remote or Pennsylvania • Today

Full-time

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Gopuff

Remote • Today

Full-time

USD 118,000.00 - 148,000.00 per year

Presales Solutions Engineer - Data Protection

SHI International Corporation

Remote or Texas • Today

Full-time

USD 120,000.00 - 230,000.00 per year

Software Engineer ll, Data Platform

Cohere Health

Remote • Today

Full-time

USD 110,000.00 - 130,000.00 per year

Presales Solutions Engineer - Data Security

SHI International Corporation

Remote • Today

Full-time

USD 120,000.00 - 230,000.00 per year

Manager of Cybersecurity GRC

Kforce Technology Staffing

Salt Lake City, Utah • Today

Full-time

$150,000 - $170,000 annually

Enterprise Data Solution Architect

Zuplon

Remote • Yesterday

Easy Apply

Contract

Data Security Consultant

CIBC

Remote or Chicago, Illinois • Today

Full-time

USD 130,000.00 - 150,000.00 per year

Digital Solutions Engineer

Diagnostica Stago, Inc.

Remote or Florida • Today

Full-time

Galaxy i Technologies, Inc.

Job Details

Skills

Data pipelines
Snowflake
AI

Summary

Data Solutions Engineer

Location: Lehi, UT
Work Arrangement: Onsite

Job Description

We are seeking an experienced Data Solutions Engineer to build scalable data products, automation workflows, and AI-enabled data solutions. This is a hands-on role focused primarily on data engineering, data pipelines, enterprise data ingestion, data quality, and AI/LLM data preparation.

Key Responsibilities

Design, develop, and support scalable data pipelines using Python, Airflow, Snowflake, and SQL.
Build enterprise data ingestion solutions for structured, unstructured, and real-time data.
Develop data schemas, interfaces, APIs, automation workflows, and reusable data solutions.
Prepare and stage data for Vector Databases and Knowledge Graph (KG) Databases supporting AI/LLM use cases.
Implement data quality, validation, governance, security, and access-control practices.
Integrate and optimize data from internal and external systems.
Build automation solutions that improve data quality, reduce manual effort, and increase operational efficiency.
Follow DevOps engineering practices including Git, CI/CD, testing, code reviews, monitoring, documentation, and production support.
Collaborate with business stakeholders, analysts, architects, and engineers to translate requirements into production-ready solutions.
Leverage LLMs and AI-assisted development tools while validating outputs and maintaining engineering quality.

Required Skills

6–8 years of experience in Data Engineering, Software Engineering, Analytics Engineering, or a related field.
Strong hands-on expertise in Python and SQL.
Experience developing reliable data pipelines, data models, APIs, and automated workflows.
Strong experience with Apache Airflow for data orchestration.
Hands-on experience with Snowflake or similar cloud data platforms/data warehouses.
Experience with enterprise data ingestion across structured, unstructured, and real-time data.
Understanding of AI/LLM data preparation, including data staging for Vector DBs and Knowledge Graphs.
Experience with Git, DevOps, CI/CD, testing, and production support.
Strong understanding of data quality, governance, security, access controls, and reliability.
Ability to work independently and deliver solutions across multiple systems and business domains.
Strong communication and problem-solving skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10374872
Position Id: 36006-43206-1786549238
Posted 4 hours ago

Company Info

About Galaxy i Technologies, Inc.

Galaxy i Technologies, Inc is a global consulting and IT services company that is known for its commitment to client satisfaction. Galaxy i Technologies is an information technology firm offering IT Consulting, Staff Augmentation, Software Development & Training and E-commerce Development. We help our Clients to implement these solutions through a variety of skilled consulting services like Application management, Implementation and Infrastructure management.

Galaxy i Technologies has a pool of highly skilled professionals who work through the life cycle of challenging and exciting projects, including System Analysis, Designing, Development, Implementation, Maintenance, Enhancements and Test Support to our Fortune 500 Corporations.

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Galaxy i Technologies, Inc.

Job Details

Skills

Data pipelines
Snowflake
AI

Summary

Data Solutions Engineer

Location: Lehi, UT
Work Arrangement: Onsite

Job Description

Key Responsibilities

Design, develop, and support scalable data pipelines using Python, Airflow, Snowflake, and SQL.
Build enterprise data ingestion solutions for structured, unstructured, and real-time data.
Develop data schemas, interfaces, APIs, automation workflows, and reusable data solutions.
Prepare and stage data for Vector Databases and Knowledge Graph (KG) Databases supporting AI/LLM use cases.
Implement data quality, validation, governance, security, and access-control practices.
Integrate and optimize data from internal and external systems.
Build automation solutions that improve data quality, reduce manual effort, and increase operational efficiency.
Follow DevOps engineering practices including Git, CI/CD, testing, code reviews, monitoring, documentation, and production support.
Collaborate with business stakeholders, analysts, architects, and engineers to translate requirements into production-ready solutions.
Leverage LLMs and AI-assisted development tools while validating outputs and maintaining engineering quality.

Required Skills

6–8 years of experience in Data Engineering, Software Engineering, Analytics Engineering, or a related field.
Strong hands-on expertise in Python and SQL.
Experience developing reliable data pipelines, data models, APIs, and automated workflows.
Strong experience with Apache Airflow for data orchestration.
Hands-on experience with Snowflake or similar cloud data platforms/data warehouses.
Experience with enterprise data ingestion across structured, unstructured, and real-time data.
Understanding of AI/LLM data preparation, including data staging for Vector DBs and Knowledge Graphs.
Experience with Git, DevOps, CI/CD, testing, and production support.
Strong understanding of data quality, governance, security, access controls, and reliability.
Ability to work independently and deliver solutions across multiple systems and business domains.
Strong communication and problem-solving skills.

Dice Id: 10374872
Position Id: 36006-43206-1786549238
Posted 4 hours ago

Company Info

About Galaxy i Technologies, Inc.

Go to company profile

Fitment

Dice Job Match Score™

📋 Comparing job requirements...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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