Overview
On Site
85/hr - 95/hr
Full Time
Skills
Reporting
Operational Excellence
Leadership
Analytics
Database
Extract
Transform
Load
ELT
Data Processing
Privacy
Regulatory Compliance
HIPAA
Communication
Health Care
Microsoft Azure
Amazon Web Services
Data Warehouse
Microsoft
Microsoft Power BI
SQL
Data Modeling
Snow Flake Schema
Cloud Computing
Evaluation
Scripting
Python
R
DAX
Data Engineering
Collaboration
Data Governance
Insurance
SAP BASIS
Job Details
Job Description
We're working with a well-established organization that is expanding its Digital Engineering team and is seeking a Senior Data Engineer for a full-time remote contract role. This is a great opportunity to work with cutting-edge tools like Microsoft Fabric, Power BI, and Snowflake in a secure and data-sensitive environment. You'll join a team focused on building scalable data infrastructure to power enterprise analytics and reporting.
This is a standout opportunity for a seasoned data engineer who thrives on building clean, secure, and high-performance data pipelines. The organization is committed to privacy and compliance, with real-world impact in regulated sectors. If you're looking for a position where your work directly supports smarter business decisions, operational excellence, and cross-departmental insights this is the role. You'll gain exposure to a modern data stack, strong engineering leadership, and an opportunity to make a strategic technical impact.
Contract duration: 4-6 months contract to hire
Required Skills & Experience
7+ years of experience in data engineering or analytics engineering
Strong SQL skills and deep experience with relational and columnar databases
Hands-on experience with Microsoft Fabric tools (e.g., Power BI, Synapse, Data Factory)
Strong understanding of ETL/ELT processes and data modeling
Experience with sensitive data processing and privacy compliance (e.g., HIPAA)
Familiarity with data governance, quality, and lifecycle best practices
Excellent collaboration and communication skills
Desired Skills & Experience
Experience evaluating or working with Snowflake
Proficiency in Python, R, or DAX scripting
Background in healthcare or other highly regulated industries
Exposure to cloud data infrastructure (Azure, AWS)
Understanding of data warehousing architecture
What You Will Be Doing
Tech Breakdown
Microsoft Fabric (Synapse, Data Factory, Power BI)
SQL and Data Modeling
Snowflake/Cloud Tools Evaluation
Scripting (Python, R, or DAX)
Daily Responsibilities
70% Hands-On Data Engineering
20% Stakeholder Collaboration
10% Data Governance & Architecture Discussion
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation Time
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
We're working with a well-established organization that is expanding its Digital Engineering team and is seeking a Senior Data Engineer for a full-time remote contract role. This is a great opportunity to work with cutting-edge tools like Microsoft Fabric, Power BI, and Snowflake in a secure and data-sensitive environment. You'll join a team focused on building scalable data infrastructure to power enterprise analytics and reporting.
This is a standout opportunity for a seasoned data engineer who thrives on building clean, secure, and high-performance data pipelines. The organization is committed to privacy and compliance, with real-world impact in regulated sectors. If you're looking for a position where your work directly supports smarter business decisions, operational excellence, and cross-departmental insights this is the role. You'll gain exposure to a modern data stack, strong engineering leadership, and an opportunity to make a strategic technical impact.
Contract duration: 4-6 months contract to hire
Required Skills & Experience
7+ years of experience in data engineering or analytics engineering
Strong SQL skills and deep experience with relational and columnar databases
Hands-on experience with Microsoft Fabric tools (e.g., Power BI, Synapse, Data Factory)
Strong understanding of ETL/ELT processes and data modeling
Experience with sensitive data processing and privacy compliance (e.g., HIPAA)
Familiarity with data governance, quality, and lifecycle best practices
Excellent collaboration and communication skills
Desired Skills & Experience
Experience evaluating or working with Snowflake
Proficiency in Python, R, or DAX scripting
Background in healthcare or other highly regulated industries
Exposure to cloud data infrastructure (Azure, AWS)
Understanding of data warehousing architecture
What You Will Be Doing
Tech Breakdown
Microsoft Fabric (Synapse, Data Factory, Power BI)
SQL and Data Modeling
Snowflake/Cloud Tools Evaluation
Scripting (Python, R, or DAX)
Daily Responsibilities
70% Hands-On Data Engineering
20% Stakeholder Collaboration
10% Data Governance & Architecture Discussion
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation Time
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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.