• Responsible for the design, development, and maintenance of data pipelines that capture and process event-based data generated across web and native application user interfaces • Partner with product, analytics, and engineering teams to ensure accurate, scalable collection of user interaction data • Deliver reliable, high-quality datasets that enable customer behavior analysis, product optimization, and data-driven decision making • Manage source control and implement CI/CD for high-quality, maintainable software delivery • Collaborate with analysts, product managers, marketing teams, data scientists, vendor teams, and other engineers

• Design, build, and maintain scalable data pipelines • Work with batch and streaming architectures • Define overall data architecture for ingestion, storage, transformation, and analytics on GCP • Collaborate with Business Analysts and Data Engineers • Oversee data ingestion architecture using SQL-based ELT pipelines • Establish data governance and quality frameworks • Optimize BigQuery data structures • Provide architectural direction and mentorship to team members • Partner with security and infrastructure teams for compliance

Medical, Dental, Vision, Life, 401K match, PTO, Sick Time, 10 Paid Holidays, Remote work opportunities What you'll do at Cascade: Serve the American Dream Through Attainable Home Ownership. Southwest Stage Funding, LLC dba Cascade Financial Services in Chandler, AZ has opening for Data Engineer Job Description: Apply an in-depth understanding of data structures and information content. Select, deploy, and manage the systems and infrastructure required for a data processing pipeline in support of the project requirements. Investigate, create, and maintain data flows, data content, data element definitions with a goal of enterprise Master data integration. Determine technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use. Develop and maintain common business definitions and metadata criteria for consistent metrics reporting across the enterprise. Design the architecture for new data and analytics platform to support analytics and data science and machine learning. Design the data models and data movement processes that support analytics and data science. Recommend and implement patterns and best practices for data engineering. Ensure quality processes are built into the design of the platform. Understand the architectural difference between solution approaches and communicate the advantages/disadvantages of your recommendation to both technical and non-technical audiences. Design and develop analytics and interactive visualizations that create business insights and clearly communicate data and trends. Develop complex SQL queries to obtain data from our source systems. Perform data validation and quality assurance to ensure data integrity and accuracy. Collaborate with IT and business partners to identify data sources and align data domains to authoritative sources of data. Enforce tactical enforcement of Data Governance policies and rules. Research new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality. Position is 100% remote reporting to headquarters in Chandler, AZ. Job Requirements: Requires a Master’s or Bachelor’s degree in Computer Science, Business, Math, or related. 1 year of experience required with a Master’s degree OR 3 years of experience required with a Bachelor’s degree. Must have experience in each of the following skills: Data architecture; Information technology; Python, SQL; Docker, CI/CD, and Jenkins; Postgres, Microsoft SQL, SSIS, SSRS; AWS Containers and Servers; Enterprise data management technologies including data warehouses, ETL tools, SQL, and master data management solutions; and Master Data Management, including technical implementation of data cleansing, de-duplication, and data quality practices. Salary: at least $117,395.00 per year To apply: apply online at https://www.cascadeloans.com/about-us/careers/ referencing job#225 About Cascade & Our Culture: 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.

Role Description We’re looking for a Senior Ingestion Engineer to build and scale high-volume, real-time data ingestion systems. You’ll work on collecting, processing, and optimizing large streams of data while ensuring performance, reliability, and cost-efficiency. This role is ideal for engineers who enjoy solving complex problems, working with real-time systems, and building scalable infrastructure. Key Responsibilities - Design and build real-time data ingestion pipelines - Handle high-throughput, low-latency data systems - Develop and maintain large-scale web scraping systems - Work with APIs, reverse engineering, and anti-bot solutions - Optimize systems for performance, reliability, and cost - Use AI tools to enhance development workflows - Collaborate with engineers, data experts, and analysts Qualifications - Strong experience with real-time/streaming data systems - Background in distributed systems and scalable infrastructure - Experience with web scraping, APIs, or data extraction at scale - Knowledge of performance optimization and cloud environments - Familiarity with AI-assisted development tools - Strong problem-solving and systems-thinking mindset Requirements - Experience in trading, betting, or financial data systems - Exposure to high-frequency or real-time data environments - Experience with adversarial scraping or anti-bot systems Benefits - Full-Time | Remote - Salary: $5,000 – $8,000/month (depending on experience) - Working hours: Monday to Friday can overlap US business hours