Overview
Hybrid
$65 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Databricks
Azure Data Factory
ADF
Synapse
Pyspark
Apache
Architecture
Data Migration
AI/ML
Delta Lake
Airflow
ETL/ELT
Spark
Data Lakes
data extraction
transformation
Scala
Data streaming
Financial Services
Asset Management
Investment
Wealth Management
holdings
transactions
benchmarks
data Performance
Job Details
Title: Sr Azure Data Engineer (Strong Databricks)
Location: Scottsdale, AZ (Hybrid/Remote)
Req Skill: Asset/Wealth Management, Financial Domain, Azure Databricks, Python, SQL, ETL, Data lakes
About the Role
We are seeking a Data Engineer with strong knowledge of Asset Management data and hands-on experience in ETL and data transformation. The ideal candidate will have a solid understanding of how data flows across asset management systems, including performance data, and will be comfortable working with transformation tools and programming languages such as Python, SQL, or C#.
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines for Asset Management data.
- Work closely with business and data teams to understand data sources, flows, and transformations related to performance and investment data.
- Implement efficient data transformation processes using both traditional and AI-assisted tools.
- Ensure data accuracy, consistency, and reliability across systems and workflows.
- Optimize data processing and storage solutions for scalability and performance.
- Collaborate with cross-functional teams to define and document data architecture and integration requirements.
Required Skills & Qualifications
- Strong understanding of Asset Management data (e.g., holdings, transactions, benchmarks, performance, attribution, etc.).
- Proven experience in ETL development, with a focus on data transformation.
- Familiarity with data transformation and integration tools, including exposure to AI-based automation tools (preferred).
- Proficiency in one or more of the following languages: Python, SQL, or C#.
- Experience with relational databases and data modeling concepts.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently and communicate effectively with both technical and non-technical stakeholders.
Preferred Qualifications
- Prior experience in Financial Services or Asset Management domain.
- Knowledge of cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).
- Familiarity with data governance and metadata management best practices.
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.