Overview
Remote
$50 - $60
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 9 Month(s)
Skills
Business Intelligence
Analytics
Data Analysis
Data Governance
Data Structure
Data Warehouse
Data Engineering
Databricks
Dimensional Modeling
Extract
Transform
Load
Microsoft Azure
Microsoft SSIS
Microsoft Power BI
Python
Scala
SQL
Snow Flake Schema
Azure Data Engineer
SSIS
Job Details
<>10+ years of IT experience is mandatory</><>State government experience is mandatory</><>Medicaid OR Health & Human Services experience is mandatory</>
Summary:
seeking a skilled Cloud Data Engineer to join the Data Office Team in driving the modernization of enterprise analytics. This role will focus on building scalable, high-performance data pipelines and models using modern cloud technologies such as Azure, Databricks, Snowflake, SQL, Python, Scala, and PowerBI. The ideal candidate will bring a strong foundation in data engineering, a passion for solving complex data challenges, and experience working in agile environments.
Key Responsibilities:
- Design and develop data pipelines and ELT processes to integrate large, diverse datasets from multiple sources.
- Build and maintain data models and structures to support enterprise reporting and analytics.
- Collaborate with cross-functional teams to deliver BI and analytics solutions that meet business needs.
- Optimize data performance by troubleshooting and resolving issues related to large-scale data querying and transformation.
- Participate in the design and documentation of data processes, including model development, validation, and implementation.
- Contribute to a positive data safety culture by adhering to data governance and security policies.
Core Competencies:
- Data Structures & Modeling: Design and implement scalable data architectures for structured and unstructured data.
- Data Pipelines & ELT: Develop robust extraction, transformation, and loading processes using modern tools and frameworks.
- Performance Optimization: Monitor and enhance data performance during development and production.
Skills :
Required Qualifications:
- Bachelor s degree in Data Analytics, MIS, Computer Science, or a related field.
- 8+ years of experience in data engineering or data warehouse development, including dimensional modeling.
- 8+ years of experience designing and developing ETL/ELT processes using tools like SSIS, Databricks, or Python.
- We're looking for a self-motivated team member who can work independently in a fully remote Agile environment - someone who takes ownership of their work, communicates proactively, and drives progress without needing close supervision.
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.