Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship
Skills
Data Engineering
Power BI
Snowflake
Gen AI
Machine Learning
Job Details
Job Title: Data Engineer (Power BI/Snowflake + AI Experience)
Location: Remote (USA)
Employment Type: Contract
About the Role
We are seeking a highly skilled Data Engineer with strong experience in Power BI, cloud data platforms, and AI/ML integrations. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines, enabling analytics, reporting, and AI-driven insights across the organization.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and optimize data models to support Power BI dashboards and advanced reporting.
- Integrate AI/ML models into data workflows and analytics environments.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
- Ensure data quality, governance, security, and compliance across systems.
- Work with cloud technologies (AWS, Azure, or Google Cloud Platform) to manage data storage, compute, and orchestration.
- Improve performance and reliability of existing data pipelines and BI solutions.
Required Skills & Qualifications
- 5+ years of proven experience as a Data Engineer.
- Strong proficiency in Power BI (data modeling, DAX, dashboard development, optimization).
- Strong SQL skills and experience with relational and cloud data warehouses (e.g., Snowflake, Azure Synapse, BigQuery, Redshift).
- Experience with programming languages such as Python or Scala.
- Hands-on experience integrating AI/ML models into data workflows or production environments.
- Experience with data orchestration tools (Airflow, Data Factory, Databricks, etc
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.