Sharp Decisions
Sr Data Engineer (967)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer (967) on a contract-to-hire basis, hybrid in Phoenix, AZ. Requires expertise in Azure Data Factory, Databricks, SQL Server, ETL/ELT processes, and Power BI. Preferred experience in banking/financial domains and cloud certifications.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Scottsdale, AZ
-
🧠 - Skills detailed
#Data Profiling #GitHub #Shell Scripting #Azure #Data Warehouse #Java #Microsoft Power BI #Azure DevOps #Azure SQL Database #ADF (Azure Data Factory) #Azure SQL #Batch #GCP (Google Cloud Platform) #Databricks #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #REST (Representational State Transfer) #Delta Lake #Computer Science #DevOps #Kubernetes #Data Modeling #Databases #Jenkins #Docker #JavaScript #BI (Business Intelligence) #Azure ADLS (Azure Data Lake Storage) #C++ #Data Pipeline #Spark (Apache Spark) #Database Performance #ADLS (Azure Data Lake Storage) #Visualization #Data Engineering #Documentation #JSON (JavaScript Object Notation) #Scala #Collibra #Python #Data Lineage #SQL (Structured Query Language) #Bash #SSIS (SQL Server Integration Services) #AWS (Amazon Web Services) #Cloud #Jira #Data Quality #Storage #SQL Server #REST API #Spark SQL #Power Automate #Scripting #Azure Data Factory #Data Lake #Agile #Data Transformations
Role description
Contract to Hire
Hybrid · Phoenix, AZ
W2 Only · No 3rd Parties
Key Responsibilities
Data Pipelines & ETL
• Design, develop, and maintain data pipelines and ETL/ELT processes from various sources into the data warehouse.
• Deliver on-prem SQL Server reporting requirements using SSIS and integration processes.
• Implement batch and streaming ETL using Azure Data Factory, Spark, Python, and Scala on Databricks.
Azure & Cloud Infrastructure
• Work with Azure Data Lake Storage, Azure SQL Databases, and Azure Data Factory.
• Implement Databricks Delta Lake, Medallion Architecture, and Unity Catalog.
• Optimize ingestion and transformation processes for efficient, scalable data flows.
Data Modeling & Quality
• Develop and maintain data models, schemas, and data dictionaries.
• Perform data profiling, cleansing, validation, and quality checks.
• Monitor and optimize database performance including query tuning and index optimization.
Power BI & Reporting
• Develop Power BI dashboards, reports, and visualizations.
• Implement data transformations, modeling, and integration processes in Power BI.
• Communicate data insights clearly to business stakeholders.
DevOps & Agile Delivery
• Use Azure DevOps, GitHub, and Jenkins for build and deploy workflows.
• Deliver features incrementally on an Agile team using Jira and Confluence.
• Create and maintain technical documentation for databases, schemas, and reporting solutions.
Continuous Improvement
• Stay current with industry trends in data engineering and Power BI.
• Proactively recommend and implement improvements to data infrastructure.
• Multi-task across priorities and adapt within a team environment.
Required & Preferred Skills
Required
Azure Data Factory Databricks Delta Lake Medallion Architecture Unity Catalog Python Scala Spark SQL Server SSIS Azure Data Lake Storage Azure SQL Power BI Data Warehousing ETL / ELT Azure DevOps GitHub Jenkins Jira / Confluence MS Office
Preferred
REST API / JSON Banking / Financial Domain Azure / GCP / AWS Cert. Java / JavaScript / C++ Docker / Kubernetes Bash / Shell Scripting Power Automate Power Apps Collibra Data Lineage Collibra Data Quality
Education
BS Computer Science BS Information Systems Equivalent Work Experience
Contract to Hire
Hybrid · Phoenix, AZ
W2 Only · No 3rd Parties
Key Responsibilities
Data Pipelines & ETL
• Design, develop, and maintain data pipelines and ETL/ELT processes from various sources into the data warehouse.
• Deliver on-prem SQL Server reporting requirements using SSIS and integration processes.
• Implement batch and streaming ETL using Azure Data Factory, Spark, Python, and Scala on Databricks.
Azure & Cloud Infrastructure
• Work with Azure Data Lake Storage, Azure SQL Databases, and Azure Data Factory.
• Implement Databricks Delta Lake, Medallion Architecture, and Unity Catalog.
• Optimize ingestion and transformation processes for efficient, scalable data flows.
Data Modeling & Quality
• Develop and maintain data models, schemas, and data dictionaries.
• Perform data profiling, cleansing, validation, and quality checks.
• Monitor and optimize database performance including query tuning and index optimization.
Power BI & Reporting
• Develop Power BI dashboards, reports, and visualizations.
• Implement data transformations, modeling, and integration processes in Power BI.
• Communicate data insights clearly to business stakeholders.
DevOps & Agile Delivery
• Use Azure DevOps, GitHub, and Jenkins for build and deploy workflows.
• Deliver features incrementally on an Agile team using Jira and Confluence.
• Create and maintain technical documentation for databases, schemas, and reporting solutions.
Continuous Improvement
• Stay current with industry trends in data engineering and Power BI.
• Proactively recommend and implement improvements to data infrastructure.
• Multi-task across priorities and adapt within a team environment.
Required & Preferred Skills
Required
Azure Data Factory Databricks Delta Lake Medallion Architecture Unity Catalog Python Scala Spark SQL Server SSIS Azure Data Lake Storage Azure SQL Power BI Data Warehousing ETL / ELT Azure DevOps GitHub Jenkins Jira / Confluence MS Office
Preferred
REST API / JSON Banking / Financial Domain Azure / GCP / AWS Cert. Java / JavaScript / C++ Docker / Kubernetes Bash / Shell Scripting Power Automate Power Apps Collibra Data Lineage Collibra Data Quality
Education
BS Computer Science BS Information Systems Equivalent Work Experience
