Senior Data Engineer

• Selecting, Deploying, & Managing the systems and infrastructure required for a data processing pipeline in support of the project’s requirements.
• Investigating, Creating, & Maintaining data flows, data content, data element definitions with a goal of enterprise Master data integration.
• Implementing & Cleansing Strong knowledge of Master Data, with technical implementation experience of data cleansing, de-duplication and management.
• Understanding Bring data management experience, including an understanding of concepts, practices, procedures and tools - providing strong analytical, innovative and creative problem-solving skills.
• Developing Demonstrated experience using AI-assisted development tools to create, optimize, debug, and validate production-ready SQL and Python scripts.
• Communicating Bring excellent interpersonal and communication skills (personal, written and presentation) and work cross-functionally with IT and non-IT staff.
• Determining Technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use.
• Understanding Technical understanding of data models, data standards, and business glossary.
• Developing & maintaining common business definitions and metadata criteria for consistent metrics reporting across the enterprise.
• Designing the architecture for our new data & analytics platform to support analytics and data science / machine learning.
• Recommending & implementing patterns and best practices for data engineering.
• Ensuring quality processes are built into the design of the platform.
• Understanding the architectural difference between solution approaches and communicating the advantages/disadvantages of your recommendation to both technical and non-technical audiences.
• Developing complex SQL queries to obtain data from our source systems.
• Performing data validation and quality assurance to ensure data integrity and accuracy.
• Collaborating with IT and business partners to identify data sources and align data domains to authoritative sources of data.
• Enforcing Tactical enforcement of Data Governance policies and rules.
• Researching new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality.

• BS/BA in Computer Science, Business, Math or related field. Masters preferred.
• At least 5 years of experience in information technology.
• At least 3 years of data architecture experience.
• At least 3 years of experience programming in one of the following high-level programming languages: Java, c++ or c#.
• At least 3 years of experience with Microsoft SQL, SSIS, SSRS, SSAS and related technologies.
• Preferred experience with JavaJet2
• Preferred experience with Microsoft Azure BI and Analytics Stack including Azure SQL and related – technologies.
• Practical experience in participating in and running data management programs.
• Experience with enterprise data management technologies including data warehouses, ETL tools, SQL, and master data management solutions.

Since opening our doors in 1999, Cascade Financial Services has grown to become one of the most trusted lenders in Attainable Housing. Our goal is to help thousands of families realize the dream of home ownership by offering mortgage loan solutions customized to the manufactured housing marketplace leveraging state-of-the-art business automation coupled with the most skilled professionals in the industry.

The Cascade culture lives in our team members!!! We are focused and dedicated to developing and providing a platform for growth. We are proud of the team that we’ve built and are looking for great people who will embrace our values and contribute to them: T.I.E.S Teamwork, Integrity, Excellence, and Service. We believe in work/life balance and a positive/family-like work environment. Together, we will continue to lead the way and make a difference.

Join our team and assist us to Serve the American Dream Through Attainable Home Ownership.