

Jobs via Dice
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Detroit, MI, on a 12+ month W2 contract. Key skills include Azure Data Factory, Databricks, PySpark, and Power BI. Requires a Bachelor's degree and 7+ years in data analytics, preferably in the utility sector.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 6, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Detroit, MI
-
🧠 - Skills detailed
#Cloud #Microsoft Power BI #BI (Business Intelligence) #Data Lake #S3 (Amazon Simple Storage Service) #Databricks #PySpark #Agile #Spark (Apache Spark) #Scripting #"ETL (Extract #Transform #Load)" #Azure SQL #Azure #Visualization #Data Quality #Azure Data Factory #Spark SQL #ML (Machine Learning) #Data Engineering #ADF (Azure Data Factory) #SQL (Structured Query Language) #Data Science #Data Ingestion
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!
Strategic Staffing Solutions is currently looking for a Sr. Data Engineer for a contract opportunity with one of our largest clients located in Detroit, MI!
Title: Senior Data Engineer
Location: Detroit, MI (Hybrid/onsite T, W, Th)
Duration: 12+ Months with extension
Role Type: W2 contract role
Key Responsibilities:
• Design, develop, and maintain ETL pipelines using Azure Data Factory and Databricks
• Implement data ingestion and transformation workflows using PySpark and Spark SQL
• Build and optimize data models and visualizations in Power BI for business reporting
• Collaborate with data scientists to support ML pipeline integration and feature engineering
• Migrate and manage data across cloud platforms including Azure SQL, Data Lake, as well as local environments
• Ensure data quality, governance, and performance tuning across all data processes
• Participate in Agile ceremonies, including sprint planning and daily standups
Minimum Education & Requirements:
• Bachelor's degree and 7+ years of experience working in a data and analytical function, including in-depth quantitative analytics
Preferred
• Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
• Work experience in an interdisciplinary/cross functional field.
• Utility or customer-oriented industry experience
• Beware of scams. S3 never asks for money during its onboarding process
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!
Strategic Staffing Solutions is currently looking for a Sr. Data Engineer for a contract opportunity with one of our largest clients located in Detroit, MI!
Title: Senior Data Engineer
Location: Detroit, MI (Hybrid/onsite T, W, Th)
Duration: 12+ Months with extension
Role Type: W2 contract role
Key Responsibilities:
• Design, develop, and maintain ETL pipelines using Azure Data Factory and Databricks
• Implement data ingestion and transformation workflows using PySpark and Spark SQL
• Build and optimize data models and visualizations in Power BI for business reporting
• Collaborate with data scientists to support ML pipeline integration and feature engineering
• Migrate and manage data across cloud platforms including Azure SQL, Data Lake, as well as local environments
• Ensure data quality, governance, and performance tuning across all data processes
• Participate in Agile ceremonies, including sprint planning and daily standups
Minimum Education & Requirements:
• Bachelor's degree and 7+ years of experience working in a data and analytical function, including in-depth quantitative analytics
Preferred
• Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
• Work experience in an interdisciplinary/cross functional field.
• Utility or customer-oriented industry experience
• Beware of scams. S3 never asks for money during its onboarding process





